* Add GPU example for Qwen2
* Update comments in README
* Update README for Qwen2 GPU example
* Add CPU example for Qwen2
Sample Output under README pending
* Update generate.py and README for CPU Qwen2
* Update GPU example for Qwen2
* Small update
* Small fix
* Add Qwen2 table
* Update README for Qwen2 CPU and GPU
Update sample output under README
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Co-authored-by: Zijie Li <michael20001122@gmail.com>
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.
Recommended Requirements
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: