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python/llm/example/GPU/HF-Transformers-AutoModels/Model/qwen-vl/README.md

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+# Qwen-VL
+In this directory, you will find examples on how you could apply BigDL-LLM INT4 optimizations on Qwen-VL models. For illustration purposes, we utilize the [Qwen/Qwen-VL-Chat](https://huggingface.co/Qwen/Qwen-VL-Chat) as a reference Qwen-VL model.
+
+## Requirements
+To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
+
+## Example: Multimodal chat using `chat()` API
+In the example [chat.py](./chat.py), we show a basic use case for a Qwen-VL model to start a multimodal chat using `chat()` API, with BigDL-LLM INT4 optimizations.
+### 1. Install
+We suggest using conda to manage the Python environment. For more information about conda installation, please refer to [here](https://docs.conda.io/en/latest/miniconda.html#).
+
+After installing conda, create a Python environment for BigDL-LLM:
+```bash
+conda create -n llm python=3.9 # recommend to use Python 3.9
+conda activate llm
+
+pip install --pre --upgrade bigdl-llm[all] # install the latest bigdl-llm nightly build with 'all' option
+
+pip install accelerate tiktoken einops transformers_stream_generator==0.0.4 scipy torchvision pillow tensorboard matplotlib # additional package required for Qwen-VL-Chat to conduct generation
+
+```
+
+### 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 Qwen-VL model (e.g `Qwen/Qwen-VL-Chat`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'Qwen/Qwen-VL-Chat'`.
+- `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'AI是什么？'`.
+- `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
+
+In every session, image and text can be entered into cmd (user can skip the input by type **'Enter'**) ; please type **'exit'** anytime you want to quit the dialouge.
+
+Every image output will be named as the round of session and placed under the current directory.
+
+#### Sample Chat
+#### [Qwen/Qwen-VL-Chat](https://huggingface.co/Qwen/Qwen-VL-Chat)
+
+```log
+-------------------- Session 1 --------------------
+ Please input a picture: https://images.unsplash.com/photo-1533738363-b7f9aef128ce?auto=format&fit=crop&q=60&w=500&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8NHx8Y2F0fGVufDB8fDB8fHwy
+ Please enter the text: 这是什么
+---------- Response ----------
+图中是一只戴着墨镜的酷炫猫咪，正坐在窗边，看着窗外。 
+
+-------------------- Session 2 --------------------
+ Please input a picture: 
+ Please enter the text: 这只猫猫多大了？
+---------- Response ----------
+由于只猫猫戴着太阳镜，无法判断年龄，但可以猜测它应该是一只成年猫猫，已经成年。 
+
+-------------------- Session 3 --------------------
+ Please input a picture: 
+ Please enter the text: 在图中检测框出猫猫的墨镜
+---------- Response ----------
+<ref>猫猫的墨镜</ref><box>(398,313),(994,506)</box> 
+
+-------------------- Session 4 --------------------
+ Please input a picture: exit
+```
+The sample input image in Session 1 is (which is fetched from [here](https://images.unsplash.com/photo-1533738363-b7f9aef128ce?auto=format&fit=crop&q=60&w=500&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8NHx8Y2F0fGVufDB8fDB8fHwy)):
+
+<a href="https://llm-assets.readthedocs.io/en/latest/_images/qwen-vl-example-input.jpg"><img width=250px src="https://llm-assets.readthedocs.io/en/latest/_images/qwen-vl-example-input.jpg" ></a>
+
+The sample output image in Session 3 is:
+
+<a href="https://llm-assets.readthedocs.io/en/latest/_images/qwen-vl-example-output.png"><img width=250px src="https://llm-assets.readthedocs.io/en/latest/_images/qwen-vl-example-output.png" ></a>