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ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels
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Wang, Jian4 fe8976a00f LLM: Support gguf models use low_bit and fix no json(#10408) 
* support others model use low_bit

* update readme

* update to add *.json
2024-03-15 09:34:18 +08:00
..
Advanced-Quantizations LLM: Support gguf models use low_bit and fix no json(#10408) 2024-03-15 09:34:18 +08:00
Model Add Deepseek-6.7B (#9991) 2024-02-28 11:36:39 +08:00
More-Data-Types LLM: update example layout (#9046) 2023-10-09 15:36:39 +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 CPU

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