62 lines
2.9 KiB
Markdown
62 lines
2.9 KiB
Markdown
# InternLM
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In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on InternLM models on [Intel GPUs](../README.md). For illustration purposes, we utilize the [internlm/internlm-chat-7b-8k](https://huggingface.co/internlm/internlm-chat-7b-8k) as a reference InternLM 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 InternLM 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 InternLM model (e.g. `internlm/internlm-chat-7b-8k`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'internlm/internlm-chat-7b-8k'`.
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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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#### [internlm/internlm-chat-7b-8k](https://huggingface.co/internlm/internlm-chat-7b-8k)
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```log
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Inference time: xxxx s
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-------------------- Prompt --------------------
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<|User|>:AI是什么？
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<|Bot|>:
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-------------------- Output --------------------
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<|User|>:AI是什么？
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<|Bot|>:AI是人工智能的缩写，是计算机科学的一个分支，旨在使计算机能够像人类一样思考、学习和执行任务。AI技术包括机器学习、自然
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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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<|User|>:What is AI?
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<|Bot|>:
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-------------------- Output --------------------
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<|User|>:What is AI?
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<|Bot|>:AI is the ability of machines to perform tasks that would normally require human intelligence, such as perception, reasoning, learning, and decision-making. AI is made possible
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```
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