74a2c2ddf5
* add optimize_model=True in llama2 chatglm2 examples * add ipex optimize in gpt-j example
51 lines
2.4 KiB
Markdown
51 lines
2.4 KiB
Markdown
# GPT-J
|
|
In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on GPT-J models on [Intel GPUs](../README.md). For illustration purposes, we utilize the [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) as reference GPT-J 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](../README.md#recommended-requirements) for more information.
|
|
|
|
## Example: Predict Tokens using `generate()` API
|
|
In the example [generate.py](./generate.py), we show a basic use case for a GPT-J 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:
|
|
```bash
|
|
conda create -n llm python=3.9
|
|
conda activate llm
|
|
# below command will install intel_extension_for_pytorch==2.0.110+xpu as default
|
|
# you can install specific ipex/torch version for your need
|
|
pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
|
|
```
|
|
### 2. Configures OneAPI environment variables
|
|
```bash
|
|
source /opt/intel/oneapi/setvars.sh
|
|
```
|
|
|
|
### 3. Run
|
|
|
|
For optimal performance on Arc, it is recommended to set several environment variables.
|
|
|
|
```bash
|
|
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 GPT-J model (e.g. `EleutherAI/gpt-j-6b`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'EleutherAI/gpt-j-6b'`.
|
|
- `--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 be `32`.
|
|
|
|
#### Sample Output
|
|
#### [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b)
|
|
```log
|
|
Inference time: xxxx s
|
|
-------------------- Prompt --------------------
|
|
What is AI?
|
|
-------------------- Output --------------------
|
|
What is AI?
|
|
|
|
Artificial Intelligence (AI) is the science of making computers think like humans. It is the science of making computers think like humans. It is the
|
|
```
|