* Update README in LLM GPU Examples * Update reference of Intel GPU * add cpu_embedding=True in comment * small fixes * update GPU/README.md and add explanation for cpu_embedding=True * address comments * fix small typos * add backtick for cpu_embedding=True * remove extra backtick in the doc * add period mark * update readme  | 
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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==2.1.10+xpu as default
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.gbaichuan-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 be32.
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