ipex-llm/python/llm/example/GPU/HF-Transformers-AutoModels
Jin Qiao 440cfe18ed LLM: GPU Example Updates for Windows (#9992)
* modify aquila

* modify aquila2

* add baichuan

* modify baichuan2

* modify blue-lm

* modify chatglm3

* modify chinese-llama2

* modiy codellama

* modify distil-whisper

* modify dolly-v1

* modify dolly-v2

* modify falcon

* modify flan-t5

* modify gpt-j

* modify internlm

* modify llama2

* modify mistral

* modify mixtral

* modify mpt

* modify phi-1_5

* modify qwen

* modify qwen-vl

* modify replit

* modify solar

* modify starcoder

* modify vicuna

* modify voiceassistant

* modify whisper

* modify yi

* modify aquila2

* modify baichuan

* modify baichuan2

* modify blue-lm

* modify chatglm2

* modify chatglm3

* modify codellama

* modify distil-whisper

* modify dolly-v1

* modify dolly-v2

* modify flan-t5

* modify llama2

* modify llava

* modify mistral

* modify mixtral

* modify phi-1_5

* modify qwen-vl

* modify replit

* modify solar

* modify starcoder

* modify yi

* correct the comments

* remove cpu_embedding in code for whisper and distil-whisper

* remove comment

* remove cpu_embedding for voice assistant

* revert modify voice assistant

* modify for voice assistant

* add comment for voice assistant

* fix comments

* fix comments
2024-01-29 11:25:11 +08:00
..
Advanced-Quantizations Fix Mixtral GGUF Wrong Output Issue (#9930) 2024-01-18 14:11:27 +08:00
Model LLM: GPU Example Updates for Windows (#9992) 2024-01-29 11:25:11 +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

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