57 lines
2.4 KiB
Markdown
57 lines
2.4 KiB
Markdown
# Chinese Llama2
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In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Chinese LLaMA models on [Intel GPUs](../README.md). For illustration purposes, we utilize the [LinkSoul/Chinese-Llama-2-7b](https://huggingface.co/LinkSoul/Chinese-Llama-2-7b) as reference Chinese LLaMA models.
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## 0. Requirements
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To run these examples with BigDL-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
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## Example: Predict Tokens using `generate()` API
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In the example [generate.py](./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.
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### 1. Install
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We suggest using conda to manage environment:
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```bash
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conda create -n llm python=3.9
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conda activate llm
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# below command will install intel_extension_for_pytorch==2.0.110+xpu as default
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# you can install specific ipex/torch version for your need
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pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
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```
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### 2. Configures OneAPI environment variables
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```bash
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source /opt/intel/oneapi/setvars.sh
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```
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### 3. Run
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For optimal performance on Arc, it is recommended to set several environment variables.
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```bash
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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```
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```
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python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT
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```
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Arguments info:
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- `--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'`.
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- `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'What is AI?'`.
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- `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
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#### Sample Output
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#### [LinkSoul/Chinese-Llama-2-7b](https://huggingface.co/LinkSoul/Chinese-Llama-2-7b)
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```log
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Inference time: xxxx s
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-------------------- Prompt --------------------
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<s>[INST] <<SYS>>
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<</SYS>>
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AI是什么？ [/INST]
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-------------------- Output --------------------
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[INST] <<SYS>>
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<</SYS>>
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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
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```
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