ipex-llm/python/llm/example/CPU/PyTorch-Models/Model
Jin, Qiao 82a61b5cf3
Limit trl version in example (#12332)
* Limit trl version in example

* Limit trl version in example
2024-11-05 14:50:10 +08:00
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aquila2
bark
bert
bluelm
chatglm
chatglm3
codegeex2 Fix codegeex2 transformers version (#11487) 2024-07-02 15:09:28 +08:00
codegemma fix gemma for 4.41 (#11531) 2024-07-18 15:02:50 -07:00
codellama
codeshell
cohere Fix cohere model on transformers>=4.41 (#11575) 2024-07-17 17:18:59 -07:00
deciLM-7b
deepseek
deepseek-moe
distil-whisper
flan-t5
fuyu
glm4 Limit trl version in example (#12332) 2024-11-05 14:50:10 +08:00
internlm-xcomposer
internlm2 fix 1482 (#11661) 2024-07-26 12:39:09 -07:00
llama2
llama3 Add CPU and GPU example for MiniCPM (#11202) 2024-06-05 18:09:53 +08:00
llava Fix LLAVA example on CPU (#11271) 2024-06-25 20:04:59 -07:00
mamba
meta-llama
minicpm fix minicpm for transformers>=4.39 (#11533) 2024-07-18 15:01:57 -07:00
mistral
mixtral
openai-whisper
phi-1_5
phi-2 phi-2 transformers 4.37 (#11161) 2024-06-05 13:36:41 -07:00
phi-3 Add CPU and GPU example for MiniCPM (#11202) 2024-06-05 18:09:53 +08:00
phixtral
qwen-vl Update ipex-llm default transformers version to 4.37.0 (#11859) 2024-08-20 17:37:58 +08:00
qwen1.5
qwen2 Add qwen2 example (#11252) 2024-06-07 10:29:33 +08:00
skywork
solar
stablelm
wizardcoder-python
yi
yuan2
ziya
README.md

IPEX-LLM INT4 Optimization for Large Language Model

You can use optimize_model API to accelerate general PyTorch models on Intel servers and PCs. This directory contains example scripts to help you quickly get started using IPEX-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.

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

For OS, IPEX-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 IPEX-LLM:

pip install ipex-llm
source ipex-llm-init