ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels
Jin Qiao 9a96af4232
Remove oneAPI pip install command in related examples (#11030)
* Remove pip install command in windows installation guide

* fix chatglm3 installation guide

* Fix gemma cpu example

* Apply on other examples

* fix
2024-05-16 10:46:29 +08:00
..
Advanced-Quantizations Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
Model Remove oneAPI pip install command in related examples (#11030) 2024-05-16 10:46:29 +08:00
More-Data-Types Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
Save-Load Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
README.md Update readme (#10665) 2024-04-05 18:01:57 +08:00

Running Hugging Face Transformers model using IPEX-LLM on Intel CPU

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 (e.g., LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) using INT4 optimizations
  • More-Data-Types: examples of applying other low bit optimizations (INT8/INT5, etc.) on Intel CPU
  • Save-Load: examples of saving and loading low-bit models
  • Advanced-Quantizations: examples of loading GGUF/AWQ/GPTQ models