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Yining Wang 4a19f50d16 phi-1_5 CPU and GPU examples (#9173) 
* eee

* add examples on CPU and GPU

* fix

* fix

* optimize model examples

* have updated

* Warmup and configs added

* Update two tables
2023-10-24 15:08:04 +08:00
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baichuan LLM: add baichuan and baichuan2 to gpu pytorch model example (#9152) 2023-10-13 13:44:31 +08:00
baichuan2 LLM: add baichuan and baichuan2 to gpu pytorch model example (#9152) 2023-10-13 13:44:31 +08:00
chatglm2 LLM: add gpu pytorch-models example llama2 and chatglm2 (#9142) 2023-10-12 13:41:48 +08:00
dolly-v1 LLM: add dolly-v1 and dolly-v2 to gpu pytorch model example (#9153) 2023-10-13 15:43:35 +08:00
dolly-v2 LLM: add dolly-v1 and dolly-v2 to gpu pytorch model example (#9153) 2023-10-13 15:43:35 +08:00
llama2 LLM: add gpu pytorch-models example llama2 and chatglm2 (#9142) 2023-10-12 13:41:48 +08:00
mistral LLM: add mistral examples (#9121) 2023-10-11 13:38:15 +08:00
phi-1_5 phi-1_5 CPU and GPU examples (#9173) 2023-10-24 15:08:04 +08:00
replit LLM: add replit and starcoder to gpu pytorch model example (#9154) 2023-10-13 15:44:17 +08:00
starcoder LLM: add replit and starcoder to gpu pytorch model example (#9154) 2023-10-13 15:44:17 +08:00
README.md LLM: add replit and starcoder to gpu pytorch model example (#9154) 2023-10-13 15:44:17 +08:00

README.md

BigDL-LLM INT4 Optimization for Large Language Model on Intel GPUs

You can use optimize_model API to accelerate general PyTorch models on Intel GPUs. 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
Mistral link
LLaMA 2 link
ChatGLM2 link
Baichuan link
Baichuan2 link
Replit link
StarCoder link
Dolly v1 link
Dolly v2 link

Verified Hardware Platforms

  • Intel Arc™ A-Series Graphics
  • Intel Data Center GPU Flex Series
  • Intel Data Center GPU Max Series

Recommended Requirements

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.

Best Known Configuration on Linux

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