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update LLM recipes #1692

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update LLM recipes #1692

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update LLM recipes
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55 changes: 34 additions & 21 deletions docs/source/llm_recipes.md
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LLMs Quantization Recipes
---
## LLMs Quantization Recipes

Intel® Neural Compressor supported advanced large language models (LLMs) quantization technologies including SmoothQuant (SQ) and Weight-Only Quant (WOQ),
and verified a list of LLMs on 4th Gen Intel® Xeon® Scalable Processor (codenamed Sapphire Rapids) with [PyTorch](https://pytorch.org/),
[Intel® Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch) and [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers).
Intel® Neural Compressor supported advanced large language models (LLMs) quantization technologies including SmoothQuant (SQ) and Weight-Only Quant (WOQ),
and verified a list of LLMs on 4th Gen Intel® Xeon® Scalable Processor (codenamed Sapphire Rapids) with [PyTorch](https://pytorch.org/),
[Intel® Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch) and [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers).
This document aims to publish the specific recipes we achieved for the popular LLMs and help users to quickly get an optimized LLM with limited 1% accuracy loss.

> Notes:
> - The quantization algorithms provide by [Intel® Neural Compressor](https://github.com/intel/neural-compressor) and the evaluate functions provide by [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers).
> - The model list are continuing update, please expect to find more LLMs in the future.
> Notes:
>
> - The quantization algorithms provide by [Intel® Neural Compressor](https://github.com/intel/neural-compressor) and the evaluate functions provide by [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers).
> - The model list are continuing update, please expect to find more LLMs in the future.

## IPEX key models
| Models | SQ INT8 | WOQ INT8 | WOQ INT4 |
|:-------------------------:|:-------:|:--------:|:--------:|
| EleutherAI/gpt-j-6b | ✔ | ✔ | ✔ |
| facebook/opt-1.3b | ✔ | ✔ | ✔ |
| facebook/opt-30b | ✔ | ✔ | ✔ |
| meta-llama/Llama-2-7b-hf | ✔ | ✔ | ✔ |
| meta-llama/Llama-2-13b-hf | ✔ | ✔ | ✔ |
| meta-llama/Llama-2-70b-hf | ✔ | ✔ | ✔ |
| tiiuae/falcon-40b | ✔ | ✔ | ✔ |


| Models | SQ INT8 | WOQ INT8 | WOQ INT4 |
| :-----------------------------: | :-----: | :------: | :------: |
| EleutherAI/gpt-j-6b | ✔ | ✔ | ✔ |
| facebook/opt-1.3b | ✔ | ✔ | ✔ |
| facebook/opt-30b | ✔ | ✔ | ✔ |
| meta-llama/Llama-2-7b-hf | WIP | ✔ | ✔ |
| meta-llama/Llama-2-13b-hf | ✔ | ✔ | ✔ |
| meta-llama/Llama-2-70b-hf | ✔ | ✔ | ✔ |
| tiiuae/falcon-7b | ✔ | ✔ | ✔ |
| tiiuae/falcon-40b | ✔ | ✔ | ✔ |
| baichuan-inc/Baichuan-13B-Chat | ✔ | ✔ | ✔ |
| baichuan-inc/Baichuan2-13B-Chat | ✔ | ✔ | ✔ |
| baichuan-inc/Baichuan2-7B-Chat | ✔ | ✔ | ✔ |
| bigscience/bloom-1b7 | ✔ | ✔ | ✔ |
| databricks/dolly-v2-12b | ✖ | ✔ | ✖ |
| EleutherAI/gpt-neox-20b | ✖ | ✔ | ✖ |
| mistralai/Mistral-7B-v0.1 | ✖ | ✔ | ✔ |
| THUDM/chatglm2-6b | WIP | ✔ | WIP |
| THUDM/chatglm3-6b | WIP | ✔ | WIP |

**Detail recipes can be found [HERE](https://github.com/intel/intel-extension-for-transformers/blob/main/examples/huggingface/pytorch/text-generation/quantization/llm_quantization_recipes.md).**
> Notes:
> - This model list comes from [IPEX](https://intel.github.io/intel-extension-for-pytorch/cpu/latest/tutorials/llm.html).
> - WOQ INT4 recipes will be published soon.

> Notes:
>
> - This model list comes from [IPEX](https://intel.github.io/intel-extension-for-pytorch/cpu/latest/tutorials/llm.html).
> - WOQ INT4 recipes will be published soon.
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