ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels/Model

BigDL-LLM Transformers INT4 Optimization for Large Language Model

You can use BigDL-LLM to run any Huggingface Transformer models with INT4 optimizations on either servers or laptops. This directory contains example scripts to help you quickly get started using BigDL-LLM to run some popular open-source models in the community. Each model has its own dedicated folder, where you can find detailed instructions on how to install and run it.

Verified models

Model	Example
LLaMA	link
LLaMA 2	link
MPT	link
Falcon	link
ChatGLM	link
ChatGLM2	link
MOSS	link
Baichuan	link
Baichuan2	link
Dolly-v1	link
Dolly-v2	link
RedPajama	link
Phoenix	link
StarCoder	link
InternLM	link
Whisper	link
Qwen	link
Aquila	link
Mistral	link

Recommended Requirements

To run the examples, we recommend using Intel® Xeon® processors (server), or >= 12th Gen Intel® Core™ processor (client).

For OS, BigDL-LLM supports Ubuntu 20.04 or later, CentOS 7 or later, and Windows 10/11.

Best Known Configuration on Linux

For better performance, it is recommended to set environment variables on Linux with the help of BigDL-Nano:

pip install bigdl-nano
source bigdl-nano-init