ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels/Model
Yuwen Hu 5e8286f72d
Update ipex-llm default transformers version to 4.37.0 (#11859)
* Update default transformers version to 4.37.0

* Add dependency requirements for qwen and qwen-vl

* Temp fix transformers version for these not yet verified models

* Skip qwen test in UT for now as it requires transformers<4.37.0
2024-08-20 17:37:58 +08:00
..
aquila Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
aquila2 Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
baichuan
baichuan2
bluelm
chatglm Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
chatglm2 ChatGLM Examples Restructure regarding Installation Steps (#11285) 2024-06-14 12:37:05 +08:00
chatglm3 ChatGLM Examples Restructure regarding Installation Steps (#11285) 2024-06-14 12:37:05 +08:00
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 Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
cohere Fix cohere model on transformers>=4.41 (#11575) 2024-07-17 17:18:59 -07:00
deciLM-7b
deepseek
deepseek-moe Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
distil-whisper Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
dolly_v1
dolly_v2
falcon
flan-t5 Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
fuyu Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
gemma fix gemma for 4.41 (#11531) 2024-07-18 15:02:50 -07:00
glm-4v upgrade glm-4v example transformers version (#11719) 2024-08-06 14:55:09 +08:00
glm4 Upgrade glm-4 example transformers version (#11659) 2024-07-31 10:24:50 +08:00
internlm
internlm-xcomposer Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
internlm2 fix 1482 (#11661) 2024-07-26 12:39:09 -07:00
llama2
llama3
llama3.1 Add Llama3.1 example (#11689) 2024-07-31 10:53:30 +08:00
minicpm fix minicpm for transformers>=4.39 (#11533) 2024-07-18 15:01:57 -07:00
mistral Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
mixtral Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
moss
mpt
phi-1_5 phi model readme (#11595) 2024-07-17 17:18:34 -07:00
phi-2 phi model readme (#11595) 2024-07-17 17:18:34 -07:00
phi-3 phi-3 on "transformers>=4.37.0,<=4.42.3" (#11534) 2024-07-17 17:19:57 -07:00
phi-3-vision phi-3 on "transformers>=4.37.0,<=4.42.3" (#11534) 2024-07-17 17:19:57 -07:00
phixtral Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
phoenix
qwen Update ipex-llm default transformers version to 4.37.0 (#11859) 2024-08-20 17:37:58 +08:00
qwen-vl Update ipex-llm default transformers version to 4.37.0 (#11859) 2024-08-20 17:37:58 +08:00
qwen1.5
qwen2 Update sample output for HF Qwen2 GPU and CPU (#11257) 2024-06-07 11:36:22 +08:00
redpajama
replit Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
skywork
solar
stablelm Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
starcoder
vicuna
whisper
wizardcoder-python
yi Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
yuan2 Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
ziya Miniconda/Anaconda -> Miniforge update in examples (#11194) 2024-06-04 10:14:02 +08:00
README.md

IPEX-LLM Transformers INT4 Optimization for Large Language Model

You can use IPEX-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 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 (glibc>=2.17), CentOS 7 or later (glibc>=2.17), 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 --pre --upgrade ipex-llm[all] --extra-index-url https://download.pytorch.org/whl/cpu
source ipex-llm-init