Instructions to use BAAI/Aquila-VL-2B-Intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BAAI/Aquila-VL-2B-Intermediate with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="BAAI/Aquila-VL-2B-Intermediate")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("BAAI/Aquila-VL-2B-Intermediate", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BAAI/Aquila-VL-2B-Intermediate with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BAAI/Aquila-VL-2B-Intermediate"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BAAI/Aquila-VL-2B-Intermediate",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BAAI/Aquila-VL-2B-Intermediate

SGLang

How to use BAAI/Aquila-VL-2B-Intermediate with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "BAAI/Aquila-VL-2B-Intermediate" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BAAI/Aquila-VL-2B-Intermediate",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "BAAI/Aquila-VL-2B-Intermediate" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BAAI/Aquila-VL-2B-Intermediate",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BAAI/Aquila-VL-2B-Intermediate with Docker Model Runner:
```
docker model run hf.co/BAAI/Aquila-VL-2B-Intermediate
```

ldwang commited on Jul 13

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95a6b24

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1 Parent(s): 31b0a03

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@@ -115,3 +115,8 @@ If you find this useful, please cite the following work
 }
 ```

 }
 ```
+# Acknowledgements
+This work is supported by the National Science and Technology Major Project (No. 2022ZD0116300).
+本项目受新一代人工智能国家科技重大专项（No. 2022ZD0116300）支持。