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moonshotai
/
Kimi-VL-A3B-Thinking-2506

Image-Text-to-Text
Transformers
Safetensors
kimi_vl
feature-extraction
conversational
custom_code
Eval Results
Model card Files Files and versions
xet
Community
14

Instructions to use moonshotai/Kimi-VL-A3B-Thinking-2506 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moonshotai/Kimi-VL-A3B-Thinking-2506 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="moonshotai/Kimi-VL-A3B-Thinking-2506", 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("moonshotai/Kimi-VL-A3B-Thinking-2506", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use moonshotai/Kimi-VL-A3B-Thinking-2506 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "moonshotai/Kimi-VL-A3B-Thinking-2506"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "moonshotai/Kimi-VL-A3B-Thinking-2506",
    		"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/moonshotai/Kimi-VL-A3B-Thinking-2506
  • SGLang

    How to use moonshotai/Kimi-VL-A3B-Thinking-2506 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 "moonshotai/Kimi-VL-A3B-Thinking-2506" \
        --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": "moonshotai/Kimi-VL-A3B-Thinking-2506",
    		"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 "moonshotai/Kimi-VL-A3B-Thinking-2506" \
            --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": "moonshotai/Kimi-VL-A3B-Thinking-2506",
    		"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 moonshotai/Kimi-VL-A3B-Thinking-2506 with Docker Model Runner:

    docker model run hf.co/moonshotai/Kimi-VL-A3B-Thinking-2506
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add ScreenSpot-Pro evaluation result (Kimi-VL-A3B-Thinking-2506)

#14 opened 3 months ago by
merve

Example code on video input

#12 opened 6 months ago by
qsstcl

Running into an issue that was resolved in the Instruct model

#10 opened 10 months ago by
orr-tzafon

issue with vLLM inference

1
#7 opened 11 months ago by
rohitg

MLX version please?

2
#5 opened 11 months ago by
Narutoouz

Running into issue when trying to run this model with vllm

4
#4 opened 11 months ago by
Travisjw25

Are there any quantization models, such as GGUF? Can it run with 16GB of VRAM?

πŸ‘ 2
4
#2 opened 12 months ago by
yoolv

Thank you!

πŸ€—πŸ‘ 2
4
#1 opened 12 months ago by
googlefan
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