30 lines
No EOL
1.3 KiB
Markdown
30 lines
No EOL
1.3 KiB
Markdown
# BigDL-LLM Examples on Intel GPU
|
||
|
||
This folder contains examples of running BigDL-LLM on Intel GPU:
|
||
|
||
- [HF-Transformers-AutoModels](HF-Transformers-AutoModels): running any ***Hugging Face Transformers*** model on BigDL-LLM (using the standard AutoModel APIs)
|
||
- [LLM-Finetuning](LLM-Finetuning): running ***finetuning*** (such as LoRA, QLoRA, QA-LoRA, etc) using BigDL-LLM on Intel GPUs
|
||
- [vLLM-Serving](vLLM-Serving): running ***vLLM*** serving framework on intel GPUs (with BigDL-LLM low-bit optimized models)
|
||
- [Deepspeed-AutoTP](Deepspeed-AutoTP): running distributed inference using ***DeepSpeed AutoTP*** (with BigDL-LLM low-bit optimized models) on Intel GPUs
|
||
- [PyTorch-Models](PyTorch-Models): running any PyTorch model on BigDL-LLM (with "one-line code change")
|
||
|
||
|
||
## System Support
|
||
### 1. Linux:
|
||
**Hardware**:
|
||
- Intel Arc™ A-Series Graphics
|
||
- Intel Data Center GPU Flex Series
|
||
- Intel Data Center GPU Max Series
|
||
|
||
**Operating System**:
|
||
- Ubuntu 20.04 or later (Ubuntu 22.04 is preferred)
|
||
|
||
### 2. Windows
|
||
**Hardware**:
|
||
- Intel iGPU and dGPU
|
||
|
||
**Operating System**:
|
||
- Windows 10/11, with or without WSL
|
||
|
||
## Requirements
|
||
To apply Intel GPU acceleration, there’re several steps for tools installation and environment preparation. See the [GPU installation guide](https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_gpu.html) for mode details. |