* 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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Chinese Llama2
In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Chinese LLaMA models on Intel GPUs. For illustration purposes, we utilize the LinkSoul/Chinese-Llama-2-7b as reference Chinese LLaMA models.
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 Llama2 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
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 Chinese Llama2 model (e.g.LinkSoul/Chinese-Llama-2-7b) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be'LinkSoul/Chinese-Llama-2-7b'.--prompt PROMPT: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be'What is AI?'.--n-predict N_PREDICT: argument defining the max number of tokens to predict. It is default to be32.
Sample Output
LinkSoul/Chinese-Llama-2-7b
Inference time: xxxx s
-------------------- Prompt --------------------
<s>[INST] <<SYS>>
<</SYS>>
AI是什么? [/INST]
-------------------- Output --------------------
[INST] <<SYS>>
<</SYS>>
AI是什么? [/INST] AI(人工智能)是一种计算机科学,旨在开发能够模拟人