You can use BigDL-LLM to run almost every Huggingface Transformer models with INT4 optimizations on your laptops with Intel GPUs. Moreover, you can also use optimize_model API to accelerate general PyTorch models on Intel GPUs.
| Model | Example |
|---|---|
| Baichuan | link |
| Baichuan2 | link |
| ChatGLM2 | link |
| Chinese Llama2 | link |
| Falcon | link |
| GPT-J | link |
| InternLM | link |
| LLaMA 2 | link |
| MPT | link |
| Qwen | link |
| StarCoder | link |
| Whisper | link |
- Intel Arc™ A-Series Graphics
- Intel Data Center GPU Flex Series
To apply Intel GPU acceleration, there’re several steps for tools installation and environment preparation.
Step 1, only Linux system is supported now, Ubuntu 22.04 is prefered.
Step 2, please refer to our driver installation for general purpose GPU capabilities.
Note: IPEX 2.0.110+xpu requires Intel GPU Driver version is Stable 647.21.
Step 3, you also need to download and install Intel® oneAPI Base Toolkit. OneMKL and DPC++ compiler are needed, others are optional.
Note: IPEX 2.0.110+xpu requires Intel® oneAPI Base Toolkit's version >= 2023.2.0.
For better performance, it is recommended to set environment variables on Linux:
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1