Skip to content

Latest commit

 

History

History
 
 

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 

Qwen2

In this directory, you will find examples on how you could apply IPEX-LLM INT4 optimizations on Qwen2 models on Intel GPUs. For illustration purposes, we utilize Qwen/Qwen2-7B-Instruct and Qwen/Qwen2-1.5B-Instruct as reference Qwen2 models.

0. Requirements

To run these examples with IPEX-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to here for more information.

Example: Predict Tokens using generate() API

In the example generate.py, we show a basic use case for a Qwen2 model to predict the next N tokens using generate() API, with IPEX-LLM INT4 optimizations on Intel GPUs.

1. Install

1.1 Installation on Linux

We suggest using conda to manage environment:

conda create -n llm python=3.11
conda activate llm
# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

pip install transformers==4.37.0 # install transformers which supports Qwen2

1.2 Installation on Windows

We suggest using conda to manage environment:

conda create -n llm python=3.11 libuv
conda activate llm

# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

pip install transformers==4.37.0 # install transformers which supports Qwen2

2. Configures OneAPI environment variables for Linux

Note

Skip this step if you are running on Windows.

This is a required step on Linux for APT or offline installed oneAPI. Skip this step for PIP-installed oneAPI.

source /opt/intel/oneapi/setvars.sh

3. Runtime Configurations

For optimal performance, it is recommended to set several environment variables. Please check out the suggestions based on your device.

3.1 Configurations for Linux

For Intel Arc™ A-Series Graphics and Intel Data Center GPU Flex Series
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
export SYCL_CACHE_PERSISTENT=1
For Intel Data Center GPU Max Series
export LD_PRELOAD=${LD_PRELOAD}:${CONDA_PREFIX}/lib/libtcmalloc.so
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
export SYCL_CACHE_PERSISTENT=1
export ENABLE_SDP_FUSION=1

Note: Please note that libtcmalloc.so can be installed by conda install -c conda-forge -y gperftools=2.10.

For Intel iGPU
export SYCL_CACHE_PERSISTENT=1
export BIGDL_LLM_XMX_DISABLED=1

3.2 Configurations for Windows

For Intel iGPU
set SYCL_CACHE_PERSISTENT=1
set BIGDL_LLM_XMX_DISABLED=1
For Intel Arc™ A-Series Graphics
set SYCL_CACHE_PERSISTENT=1

Note

For the first time that each model runs on Intel iGPU/Intel Arc™ A300-Series or Pro A60, it may take several minutes to compile.

4. Running examples

python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT

Arguments info:

  • --repo-id-or-model-path REPO_ID_OR_MODEL_PATH: argument defining the huggingface repo id for the Qwen2 model (e.g. Qwen/Qwen2-7B-Instruct) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'Qwen/Qwen2-7B-Instruct'.
  • --prompt PROMPT: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be 'AI是什么?'.
  • --n-predict N_PREDICT: argument defining the max number of tokens to predict. It is default to be 32.

Sample Output

Inference time: xxxx s
-------------------- Prompt --------------------
AI是什么?
-------------------- Output --------------------
AI是人工智能(Artificial Intelligence)的缩写。它指的是由计算机系统表现出来的智能行为,这些行为通常包括学习、推理、问题解决
Inference time: xxxx s
-------------------- Prompt --------------------
What is AI?
-------------------- Output --------------------
AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think and learn like humans and mimic their actions. The term may
Inference time: 0.33887791633605957 s
-------------------- Prompt --------------------
AI是什么?
-------------------- Output --------------------
AI是人工智能的简称,是一种计算机科学和技术领域,旨在使机器能够完成通常需要人类智能的任务。这包括识别和理解语言、图像处理
Inference time: 0.340407133102417 s
-------------------- Prompt --------------------
What is AI?
-------------------- Output --------------------
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and work like humans. It involves creating computer programs, algorithms