Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

NyxKrage
/
moondream3-preview-hf

Image-Text-to-Text
Transformers
Safetensors
moondream3
conversational
custom_code
Model card Files Files and versions
xet
Community
4

Instructions to use NyxKrage/moondream3-preview-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NyxKrage/moondream3-preview-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="NyxKrage/moondream3-preview-hf", 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 Moondream3ForConditonalGeneration
    model = Moondream3ForConditonalGeneration.from_pretrained("NyxKrage/moondream3-preview-hf", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use NyxKrage/moondream3-preview-hf with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "NyxKrage/moondream3-preview-hf"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "NyxKrage/moondream3-preview-hf",
    		"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/NyxKrage/moondream3-preview-hf
  • SGLang

    How to use NyxKrage/moondream3-preview-hf 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 "NyxKrage/moondream3-preview-hf" \
        --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": "NyxKrage/moondream3-preview-hf",
    		"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 "NyxKrage/moondream3-preview-hf" \
            --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": "NyxKrage/moondream3-preview-hf",
    		"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 NyxKrage/moondream3-preview-hf with Docker Model Runner:

    docker model run hf.co/NyxKrage/moondream3-preview-hf
moondream3-preview-hf
18.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
NyxKrage's picture
NyxKrage
Update modeling_moondream3.py
4cbb231 verified 5 months ago
  • moondream3_moe_fused
    1.0 6 months ago
  • .gitattributes
    1.52 kB
    1.0 6 months ago
  • LICENSE.md
    4.39 kB
    1.0 6 months ago
  • README.md
    5.38 kB
    Update README.md 6 months ago
  • chat_template.jinja
    3.4 kB
    Upload folder using huggingface_hub 6 months ago
  • config.json
    1.88 kB
    Upload folder using huggingface_hub 6 months ago
  • configuration_moondream3.py
    12.8 kB
    Upload folder using huggingface_hub 6 months ago
  • convert_moondream_weights_to_hf.py
    11.4 kB
    1.0 6 months ago
  • image_processing_moondream3.py
    9.94 kB
    Upload folder using huggingface_hub 6 months ago
  • model.safetensors
    18.5 GB
    xet
    1.0 6 months ago
  • modeling_moondream3.py
    53.2 kB
    Update modeling_moondream3.py 5 months ago
  • modeling_moondream3_fusedmoe.py
    13.2 kB
    1.0 6 months ago
  • preprocessor_config.json
    311 Bytes
    1.0 6 months ago
  • processing_moondream3.py
    10.4 kB
    Upload folder using huggingface_hub 6 months ago
  • processor_config.json
    156 Bytes
    1.0 6 months ago
  • special_tokens_map.json
    182 Bytes
    1.0 6 months ago
  • tokenizer.json
    3.69 MB
    1.0 6 months ago
  • tokenizer_config.json
    4.13 kB
    1.0 6 months ago