5.5 KiB
5.5 KiB
IPEX-LLM Examples: GPU
Here, we provide some examples on how you could apply IPEX-LLM INT4 optimizations on popular open-source models in the community.
To run these examples, please first refer to here for more information about how to install ipex-llm, requirements and best practices for setting up your environment.
.. important::
Only Linux system is supported now, Ubuntu 22.04 is prefered.
The following models have been verified on either servers or laptops with Intel GPUs.
Example of PyTorch API
| Model | Example of PyTorch API |
|---|---|
| LLaMA 2 | link |
| ChatGLM 2 | link |
| Mistral | link |
| Baichuan | link |
| Baichuan2 | link |
| Replit | link |
| StarCoder | link |
| Dolly-v1 | link |
| Dolly-v2 | link |
.. important::
In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through PyTorch API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/PyTorch-Models/More-Data-Types>`_.
Example of transformers-style API
| Model | Example of transformers-style API |
|---|---|
| LLaMA (such as Vicuna, Guanaco, Koala, Baize, WizardLM, etc.) | link |
| LLaMA 2 | link |
| ChatGLM2 | link |
| Mistral | link |
| Falcon | link |
| MPT | link |
| Dolly-v1 | link |
| Dolly-v2 | link |
| Replit | link |
| StarCoder | link |
| Baichuan | link |
| Baichuan2 | link |
| InternLM | link |
| Qwen | link |
| Aquila | link |
| Whisper | link |
| Chinese Llama2 | link |
| GPT-J | link |
.. important::
In addition to INT4 optimization, IPEX-LLM also provides other low bit optimizations (such as INT8, INT5, NF4, etc.). You may apply other low bit optimizations through ``transformers``-style API as `example <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU/HF-Transformers-AutoModels/More-Data-Types>`_.
.. seealso::
See the complete examples `here <https://github.com/intel-analytics/ipex-llm/tree/main/python/llm/example/GPU>`_.