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ipex-llm/python/llm/example/GPU/HF-Transformers-AutoModels
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Mingyu Wei bc9cff51a8 LLM GPU Example Update for Windows Support (#9902) 
* Update README in LLM GPU Examples

* Update reference of Intel GPU

* add cpu_embedding=True in comment

* small fixes

* update GPU/README.md and add explanation for cpu_embedding=True

* address comments

* fix small typos

* add backtick for cpu_embedding=True

* remove extra backtick in the doc

* add period mark

* update readme
2024-01-24 13:42:27 +08:00
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Advanced-Quantizations Fix Mixtral GGUF Wrong Output Issue (#9930) 2024-01-18 14:11:27 +08:00
Model LLM GPU Example Update for Windows Support (#9902) 2024-01-24 13:42:27 +08:00
More-Data-Types Update llm gpu xpu default related info to PyTorch 2.1 (#9866) 2024-01-09 15:38:47 +08:00
Save-Load LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
README.md Update readme (#9788) 2023-12-26 19:46:11 +08:00

README.md

Running Hugging Face Transformers model using BigDL-LLM on Intel GPU

This folder contains examples of running any Hugging Face Transformers model on BigDL-LLM (using the standard AutoModel APIs):

  • Model: examples of running Hugging Face Transformers models (e.g., LLaMA2, ChatGLM2, Falcon, MPT, Baichuan2, etc.) using INT4 optimizations
  • More-Data-Types: examples of applying other low bit optimizations (NF4/INT5/INT8, etc.)
  • Save-Load: examples of saving and loading low-bit models
  • Advanced-Quantizations: examples of loading GGUF/AWQ/GPTQ models