ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels
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Add codegemma example (#10884)
* add codegemma example in GPU/HF-Transformers-AutoModels/

* add README of codegemma example in GPU/HF-Transformers-AutoModels/

* add codegemma example in GPU/PyTorch-Models/

* add readme of codegemma example in GPU/PyTorch-Models/

* add codegemma example in CPU/HF-Transformers-AutoModels/

* add readme of codegemma example in CPU/HF-Transformers-AutoModels/

* add codegemma example in CPU/PyTorch-Models/

* add readme of codegemma example in CPU/PyTorch-Models/

* fix typos

* fix filename typo

* add codegemma in tables

* add comments of lm_head

* remove comments of use_cache
2024-05-07 13:35:42 +08:00
..
Advanced-Quantizations Upgrade to python 3.11 (#10711) 2024-04-09 17:41:17 +08:00
Model Add codegemma example (#10884) 2024-05-07 13:35:42 +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