added reference

README.md

@@ -3,7 +3,8 @@
 This repository is intended as a minimal, hackable and readable example to load [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) ([arXiv](https://arxiv.org/abs/2302.13971v1)) models and run inference.
 In order to download the checkpoints and tokenizer, fill this [google form](https://forms.gle/jk851eBVbX1m5TAv5)
 
-### Setup
+## Setup
+
 In a conda env with pytorch / cuda available, run
 ```
 pip install -r requirements.txt
@@ -13,11 +14,13 @@ Then in this repository
 pip install -e .
 ```
 
-### Download
+## Download
+
 Once your request is approved, you will receive links to download the tokenizer and model files.
 Edit the `download.sh` script with the signed url provided in the email to download the model weights and tokenizer.
 
-### Inference
+## Inference
+
 The provided `example.py` can be run on a single or multi-gpu node with `torchrun` and will output completions for two pre-defined prompts. Using `TARGET_FOLDER` as defined in `download.sh`:
 ```
 torchrun --nproc_per_node MP example.py --ckpt_dir $TARGET_FOLDER/model_size --tokenizer_path $TARGET_FOLDER/tokenizer.model
@@ -32,14 +35,28 @@ Different models require different MP values:
 | 33B    | 4  |
 | 65B    | 8  |
 
-### FAQ
+## FAQ
+
 - [1. The download.sh script doesn't work on default bash in MacOS X](FAQ.md#1)
 - [2. Generations are bad!](FAQ.md#2)
 - [3. CUDA Out of memory errors](FAQ.md#3)
 - [4. Other languages](FAQ.md#4)
 
-### Model Card
+## Reference
+
+LLaMA: Open and Efficient Foundation Language Models -- https://arxiv.org/abs/2302.13971
+
+```
+@article{touvron2023llama,
+  title={LLaMA: Open and Efficient Foundation Language Models},
+  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
+  journal={arXiv preprint arXiv:2302.13971},
+  year={2023}
+}
+```
+
+## Model Card
 See [MODEL_CARD.md](MODEL_CARD.md)
 
-### License
+## License
 See the [LICENSE](LICENSE) file.