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[Docs] Add 4-bit serialization docs #28182

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Dec 22, 2023
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[Docs] Add 4-bit serialization docs #28182

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add 4-bit serialization docs
younesbelkada Dec 21, 2023
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younesbelkada Dec 21, 2023
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3 changes: 2 additions & 1 deletion docs/source/en/quantization.md
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Expand Up @@ -345,7 +345,7 @@ model_4bit = AutoModelForCausalLM.from_pretrained("facebook/opt-350m", load_in_4
model_4bit.model.decoder.layers[-1].final_layer_norm.weight.dtype
```

Once a model is quantized to 4-bit, you can't push the quantized weights to the Hub.
If you have `bitsandbytes>=0.41.3`, you can serialize 4-bit models and push them on Hugging Face Hub. Simply call `model.push_to_hub()` after loading it in 4-bit precision. You can also save the serialized 4-bit models locally with `model.save_pretrained()` command.

</hfoption>
</hfoptions>
Expand Down Expand Up @@ -468,6 +468,7 @@ Try 4-bit quantization in this [notebook](https://colab.research.google.com/driv

This section explores some of the specific features of 4-bit models, such as changing the compute data type, using the Normal Float 4 (NF4) data type, and using nested quantization.


#### Compute data type

To speedup computation, you can change the data type from float32 (the default value) to bf16 using the `bnb_4bit_compute_dtype` parameter in [`BitsAndBytesConfig`]:
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