2d81521019
* add llama2 and chatglm optimize_model examples * update default usage * update command and some descriptions * move folder and remove general_int4 descriptions * change folder name
21 lines
1.1 KiB
Markdown
21 lines
1.1 KiB
Markdown
# BigDL-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 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 2 | [link](llama2) |
|
|
| ChatGLM | [link](chatglm) |
|
|
| Openai Whisper | [link](openai-whisper) |
|
|
|
|
## 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:
|
|
```bash
|
|
pip install bigdl-nano
|
|
source bigdl-nano-init
|
|
```
|