58 lines
2.9 KiB
Markdown
58 lines
2.9 KiB
Markdown
# Baichuan
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In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Baichuan models on [Intel GPUs](../README.md). For illustration purposes, we utilize the [baichuan-inc/Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat) as a reference Baichuan model.
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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 Baichuan 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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pip install transformers_stream_generator # additional package required for Baichuan-13B-Chat to conduct generation
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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 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'`.
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- `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'AI是什么？'`.
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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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#### [baichuan-inc/Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)
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```log
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-------------------- Prompt --------------------
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<human>AI是什么？ <bot>
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-------------------- Output --------------------
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<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
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```
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```log
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Inference time: xxxx s
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-------------------- Prompt --------------------
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<human>What is AI? <bot>
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-------------------- Output --------------------
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<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
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```
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