Instructions to use 5CD-AI/Vintern-1B-v3_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 5CD-AI/Vintern-1B-v3_5 with Transformers:

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

pipe = pipeline("image-text-to-text", model="5CD-AI/Vintern-1B-v3_5", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("5CD-AI/Vintern-1B-v3_5", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use 5CD-AI/Vintern-1B-v3_5 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "5CD-AI/Vintern-1B-v3_5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "5CD-AI/Vintern-1B-v3_5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/5CD-AI/Vintern-1B-v3_5

SGLang

How to use 5CD-AI/Vintern-1B-v3_5 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 "5CD-AI/Vintern-1B-v3_5" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "5CD-AI/Vintern-1B-v3_5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "5CD-AI/Vintern-1B-v3_5" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "5CD-AI/Vintern-1B-v3_5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use 5CD-AI/Vintern-1B-v3_5 with Docker Model Runner:
```
docker model run hf.co/5CD-AI/Vintern-1B-v3_5
```

ERROR:main:[MAIN] ❌ LLM load failed: 'InternVLChatModel' object has no attribute 'all_tied_weights_keys'

#13

by truongvv - opened 7 days ago

Discussion

truongvv

7 days ago

ERROR:main:[MAIN] ❌ LLM load failed: 'InternVLChatModel' object has no attribute 'all_tied_weights_keys'
Tôi tích hợp vào ứng dụng sử dụng cơ chế batch nhưng lỗi
mong tác giả fix trust_remote_code

truongvv

7 days ago

all_tied_weights_keys với transformers ≥4.51

khang119966

Fifth Civil Defender - 5CD org 5 days ago

bạn cài lại phiên bản transformers phù hợp là được nhé

truongvv

5 days ago

Cảm ơn bạn. Tôi đã cài transformers==4.49.0 và chạy test với 4 ảnh. Kết quả:

Sequential (từng ảnh): 0.86 giây, hoạt động tốt.

Batch (dùng model.batch_chat()): bị lỗi TypeError: 'NoneType' object is not iterable vì thiếu tham số num_patches_list.

Tôi kiểm tra source của InternVL, thấy batch_chat yêu cầu truyền thêm num_patches_list (danh sách số patch của mỗi ảnh sau dynamic preprocess). Điều này cho thấy InternVL không hỗ trợ batch inference một cách "plug-and-play" như Qwen-VL.

Vậy câu hỏi của tôi: Liệu InternVL có thực sự hỗ trợ batch song song không? Nếu có, bạn có thể cho tôi một đoạn code mẫu hoàn chỉnh (bao gồm dynamic preprocess để tính num_patches_list) để chạy batch 4 ảnh cùng lúc được không?

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