* 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. |
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| .. | ||
| generate.py | ||
| README.md | ||
BlueLM
In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on BlueLM models on Intel GPUs. For illustration purposes, we utilize the vivo-ai/BlueLM-7B-Chat as a reference BlueLM 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 BlueLM 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
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 BlueLM model (e.gvivo-ai/BlueLM-7B-Chat) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be'vivo-ai/BlueLM-7B-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 be32.
Sample Output
vivo-ai/BlueLM-7B-Chat
Inference time: xxxx s
-------------------- Prompt --------------------
[|Human|]:AI是什么?[|AI|]:
-------------------- Output --------------------
AI是什么? AI是人工智能(Artificial Intelligence)的缩写,是一种模拟人类智能思维过程的技术。它可以让计算机系统通过学习和适应,自主地完成各种任务,
Inference time: xxxx s
-------------------- Prompt --------------------
[|Human|]:What is AI?[|AI|]:
-------------------- Output --------------------
What is AI? AI is an AI, or artificial intelligence, that can be defined as the simulation of human intelligence processes by machines, especially computer systems.
AI is not