ipex-llm/python/llm/example/GPU/HF-Transformers-AutoModels
ZehuaCao 56cb992497
LLM: Modify CPU Installation Command for most examples (#11049)
* init

* refine

* refine

* refine

* modify hf-agent example

* modify all CPU model example

* remove readthedoc modify

* replace powershell with cmd

* fix repo

* fix repo

* update

* remove comment on windows code block

* update

* update

* update

* update

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Co-authored-by: xiangyuT <xiangyu.tian@intel.com>
2024-05-17 15:52:20 +08:00
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Advanced-Quantizations Support the desc_act feature in GPTQ model (#10851) 2024-04-24 10:17:13 -07:00
Model LLM: Modify CPU Installation Command for most examples (#11049) 2024-05-17 15:52:20 +08:00
More-Data-Types Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
Save-Load Remove oneAPI pip install command in related examples (#11030) 2024-05-16 10:46:29 +08:00
README.md Update readme (#10665) 2024-04-05 18:01:57 +08:00

Running HuggingFace transformers model using IPEX-LLM on Intel GPU

This folder contains examples of running any HuggingFace transformers model on IPEX-LLM (using the standard AutoModel APIs):

  • Model: examples of running HuggingFace transformers models (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using INT4 optimizations
  • More-Data-Types: examples of applying other low bit optimizations (FP8/INT8/FP4, etc.)
  • Save-Load: examples of saving and loading low-bit models
  • Advanced-Quantizations: examples of loading GGUF/AWQ/GPTQ models