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clears any selected_adapters before calling internal_model.save_pretr… #609

Merged
merged 1 commit into from
Jun 13, 2024
Merged

clears any selected_adapters before calling internal_model.save_pretr… #609

merged 1 commit into from
Jun 13, 2024
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neph1
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@neph1 neph1 commented Jun 8, 2024

…ained

I have a script that downloads the adapter from hf, merges it with the base model and uploads the result. It worked a month ago (or so), but failed now. Tried it both on colab, kaggle and locally. It would only save the adapter.

After some digging, I tried setting save_pretrained_settings["selected_adapters"] = None before the peft call, and that seemed to do the trick.

The fix for my use case was on line 672, but I figure this is the correct place. Although I'm not sure this is a proper fix at all. Most likely there's a place somewhere that incorrectly sets selected_adapters to "lora", or something similar, when loading an adapter from_pretrained.

@neph1 neph1 mentioned this pull request Jun 10, 2024
Open
@danielhanchen danielhanchen changed the base branch from main to nightly June 13, 2024 06:55
@danielhanchen danielhanchen merged commit 9016171 into unslothai:nightly Jun 13, 2024
danielhanchen added a commit that referenced this pull request Jun 13, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi
Nightly (#632)
d2c0c1b 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 14, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Qwen bug fixes (#639)
b34a44e 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 14, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Fix segfaults (#641)
7b42355 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
sebdg added a commit to sebdg/unsloth that referenced this pull request Jun 14, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi
Nightly (unslothai#632)
b0648a0 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (unslothai#630)

* Support revision parameter in FastLanguageModel.from_pretrained (unslothai#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (unslothai#609)

* Update __init__.py (unslothai#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (unslothai#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (unslothai#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix unslothai#2 for saving lora

* Test fix unslothai#3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (unslothai#619)

* llama.cpp failing (unslothai#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (unslothai#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
sebdg added a commit to sebdg/unsloth that referenced this pull request Jun 14, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Qwen bug fixes (unslothai#639)
911feb4 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (unslothai#630)

* Support revision parameter in FastLanguageModel.from_pretrained (unslothai#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (unslothai#609)

* Update __init__.py (unslothai#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (unslothai#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (unslothai#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix unslothai#2 for saving lora

* Test fix unslothai#3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (unslothai#619)

* llama.cpp failing (unslothai#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (unslothai#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (unslothai#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
sebdg added a commit to sebdg/unsloth that referenced this pull request Jun 14, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Fix segfaults (unslothai#641)
bc61404 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (unslothai#630)

* Support revision parameter in FastLanguageModel.from_pretrained (unslothai#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (unslothai#609)

* Update __init__.py (unslothai#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (unslothai#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (unslothai#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix unslothai#2 for saving lora

* Test fix unslothai#3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (unslothai#619)

* llama.cpp failing (unslothai#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (unslothai#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (unslothai#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 15, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Nightly (#646)
8ee9cc7 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 15, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Nightly (#648)
6a5b3a4 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 15, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Nightly (#649)
9b4802f 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 16, 2024
@ArcadaLabs-Jason @danielhanchen
@shimmyshimmer @chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper
Fix breaking bug in save.py with interpreting quantization_method as …
30605de 
…a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 16, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Fix GGUF (#654)
a2ee568 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 16, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Fix continuing LoRA finetuning (#656)
64bb8cf 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 18, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Ollama (#665)
8770308 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 19, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Ollama bug fixes (#667)
c053e42 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* ollama

* Update mapper.py

* Update chat_templates.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 20, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Ollama (#671)
a558f22 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* ollama

* Update mapper.py

* Update chat_templates.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 20, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Nightly (#673)
4af390e 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* ollama

* Update mapper.py

* Update chat_templates.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Fixes

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jun 21, 2024
@danielhanchen @shimmyshimmer
@chrehall68 @neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason
Nightly (#676)
933d9fe 
* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* ollama

* Update mapper.py

* Update chat_templates.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Fixes

* clearer messages

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update llama.py

* Update llama.py

* log

* Update __init__.py

* Update llama.py

* Update __init__.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
danielhanchen added a commit that referenced this pull request Jul 3, 2024
@danielhanchen @chrehall68
@neph1 @xyangk @Oseltamivir @mahiatlinux @sebdg @bet0x @t-vi @shaper @ArcadaLabs-Jason @shimmyshimmer
Gemma2 (#709)
499635a 
* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

* Fix breaking bug in save.py with interpreting quantization_method as a string when saving to gguf (#651)

* Nightly (#649)

* Update llama.py

* offload

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* continued pretraining trainer

* Update trainer.py

* Update trainer.py

* Update trainer.py

* Update trainer.py

* is_bfloat16_supported

* Update __init__.py

* Update README.md

* Update llama.py

* is_bfloat16_supported

* Update __init__.py

* Mistral v3

* Phi 3 medium

* Update chat_templates.py

* Update chat_templates.py

* Phi-3

* Update save.py

* Update README.md

Mistral v3 to Mistral v0.3

* Untrained tokens

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update save.py

* Update save.py

* Update save.py

* checkpoint

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* accelerate

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* train_dataloader

* Update llama.py

* Update llama.py

* Update llama.py

* use_fast_convert

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* remove_special_tokens

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Update chat_templates.py

* Support bfloat16 GGUF

* Update save.py

* Update llama.py

* fast_forward_inference

* Update mapper.py

* Update loader.py

* Update llama.py

* Update tokenizer_utils.py

* info

* edits

* Create chat template

* Fix tokenizer

* Update tokenizer_utils.py

* fix case where gguf saving fails due to first_conversion dtype (#630)

* Support revision parameter in FastLanguageModel.from_pretrained (#629)

* support `revision` parameter

* match unsloth formatting of named parameters

* clears any selected_adapters before calling internal_model.save_pretrained (#609)

* Update __init__.py (#602)

Check for incompatible modules before importing unsloth

* Fixed unsloth/tokenizer_utils.py for chat training (#604)

* Add GGML saving option to Unsloth for easier Ollama model creation and testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

* docs: Add LoraConfig parameters documentation (#619)

* llama.cpp failing (#371)

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <[email protected]>

* fix libcuda_dirs import for triton 3.0 (#227)

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <[email protected]>

* Update save.py

* Update __init__.py

* Update fast_lora.py

* Update save.py

* Update save.py

* Update save.py

* Update loader.py

* Update save.py

* Update save.py

* quantize now llama-quantize

* Update chat_templates.py

* Update loader.py

* Update mapper.py

* Update __init__.py

* embedding size

* Update qwen2.py

* docs

* Update README.md

* Update qwen2.py

* README: Fix minor typo. (#559)

* README: Fix minor typo.

One-character typo fix while reading.

* Update README.md

---------

Co-authored-by: Daniel Han <[email protected]>

* Update mistral.py

* Update qwen2.py

* Update qwen2.py

* Update qwen2.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update README.md

* FastMistralModel

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Update mistral.py

* Auto check rope scaling

* Update llama.py

* Update llama.py

* Update llama.py

* GPU support

* Typo

* Update gemma.py

* gpu

* Multiple GGUF saving

* Update save.py

* Update save.py

* check PEFT and base

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update chat_templates.py

---------

Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Fix bug in save.py with interpreting quantization_method as a string that prevents GGUF from saving

* Implemented better list management and then forgot to actually call the new list variable, fixed

* Check type of given quantization method and return type error if not list or string

* Update save.py

---------

Co-authored-by: Daniel Han <[email protected]>
Co-authored-by: Michael Han <[email protected]>
Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>

* Revert "Fix breaking bug in save.py with interpreting quantization_method as …" (#652)

This reverts commit 30605de.

* Revert "Revert "Fix breaking bug in save.py with interpreting quantization_me…" (#653)

This reverts commit e2b2083.

* Update llama.py

* peft

* patch

* Update loader.py

* retrain

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* offload

* Update llama.py

* Create a starter script for command-line training to integrate in ML ops pipelines. (#623)

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Ollama

* Update chat_templates.py

* ollama

* Update mapper.py

* Update chat_templates.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update save.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update chat_templates.py

* Update llama.py

* Fixes

* clearer messages

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update llama.py

* Update llama.py

* Update llama.py

* log

* Update __init__.py

* Update llama.py

* Update __init__.py

* Create Merge.png

* Create ollama.png

* Gemma2

* Update llama.py

* Update loader.py

* Update pyproject.toml

* Update pyproject.toml

* Update llama.py

* Update llama.py

* Update llama.py

* Update llama.py

* Update _utils.py

* Revert Gemma2

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update rms_layernorm.py

* Update gemma2.py

* logit softcapping

* Update cross_entropy_loss.py

* Update llama.py

* Update llama.py

* Update gemma2.py

* Update gemma2.py

* Update cross_entropy_loss.py

* Update llama.py

* Update llama.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update llama.py

* Update cross_entropy_loss.py

* Update cross_entropy_loss.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update llama.py

* Update gemma2.py

* Update llama.py

* Update llama.py

* Update gemma2.py

* Update gemma2.py

* Update llama.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update gemma2.py

* Update _utils.py

* Update _utils.py

* Update gemma2.py

* compile flags

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update gemma2.py

* Update gemma2.py

* fixes

* Update _utils.py

* Fix generation

* Update llama.py

* Update llama.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* pad token

* Update gemma2.py

* pad token

* Update _utils.py

* Update llama.py

* Update gemma2.py

* edit warning

* Update tokenizer_utils.py

---------

Co-authored-by: Eliot Hall <[email protected]>
Co-authored-by: Rickard Edén <[email protected]>
Co-authored-by: XiaoYang <[email protected]>
Co-authored-by: Oseltamivir <[email protected]>
Co-authored-by: mahiatlinux <[email protected]>
Co-authored-by: Sébastien De Greef <[email protected]>
Co-authored-by: Alberto Ferrer <[email protected]>
Co-authored-by: Thomas Viehmann <[email protected]>
Co-authored-by: Walter Korman <[email protected]>
Co-authored-by: ArcadaLabs-Jason <[email protected]>
Co-authored-by: Michael Han <[email protected]>
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2 participants
@neph1 @danielhanchen