ipex-llm/python/llm/example/GPU/HF-Transformers-AutoModels/Model/baichuan
Qiyuan Gong 0284801fbd [LLM] IPEX auto importer turn on by default for XPU (#9730)
* Set BIGDL_IMPORT_IPEX default to true, i.e., auto import IPEX for XPU.
* Remove import intel_extension_for_pytorch as ipex from GPU example.
* Add support for bigdl-core-xe-21.
2023-12-22 16:20:32 +08:00
..
generate.py [LLM] IPEX auto importer turn on by default for XPU (#9730) 2023-12-22 16:20:32 +08:00
README.md LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00

Baichuan

In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Baichuan models on Intel GPUs. For illustration purposes, we utilize the baichuan-inc/Baichuan-13B-Chat as a reference Baichuan model.

0. Requirements

To run these examples with BigDL-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 Baichuan model to predict the next N tokens using generate() API, with BigDL-LLM INT4 optimizations on Intel GPUs.

1. Install

We suggest using conda to manage environment:

conda create -n llm python=3.9
conda activate llm
# below command will install intel_extension_for_pytorch==2.0.110+xpu as default
# you can install specific ipex/torch version for your need
pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
pip install transformers_stream_generator  # additional package required for Baichuan-13B-Chat to conduct generation

2. Configures OneAPI environment variables

source /opt/intel/oneapi/setvars.sh

3. Run

For optimal performance on Arc, it is recommended to set several environment variables.

export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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 Baichuan model (e.g baichuan-inc/Baichuan-13B-Chat) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'baichuan-inc/Baichuan-13B-Chat'.
  • --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

baichuan-inc/Baichuan-13B-Chat

-------------------- Prompt --------------------
<human>AI是什么 <bot>
-------------------- Output --------------------
<human>AI是什么 <bot>人工智能(Artificial Intelligence简称AI)是指由人制造出来的系统所表现出来的智能,通常是通过计算机系统实现的。这种智能可以
Inference time: xxxx s
-------------------- Prompt --------------------
<human>What is AI? <bot>
-------------------- Output --------------------
<human>What is AI? <bot>AI refers to the intelligence of machines and computers. It encompasses a wide range of technologies that allow software applications, systems, or devices to perform