Instructions to use moondream/moondream-next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moondream/moondream-next with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="moondream/moondream-next", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("moondream/moondream-next", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use moondream/moondream-next with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "moondream/moondream-next" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moondream/moondream-next", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/moondream/moondream-next
- SGLang
How to use moondream/moondream-next 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 "moondream/moondream-next" \ --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": "moondream/moondream-next", "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 "moondream/moondream-next" \ --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": "moondream/moondream-next", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use moondream/moondream-next with Docker Model Runner:
docker model run hf.co/moondream/moondream-next
Update model manifest
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"format": "md3_flat_bf16_moe_merged"
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"default_file": "model_fp8.pt",
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"default_repo": "moondream/moondream3-preview",
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"default_size": 10505451019,
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"expert_dtype": "torch.float8_e4m3fn",
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"expert_tensors": 40,
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"format": "md3_flat_fp8_moe_merged",
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"non_scale_float_dtype": "torch.bfloat16",
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"output_file": "/workspace/runs/mdnext-fp8-repair/model_fp8.pt",
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"output_sha256": "e1acbd3f5eb8a1e74c7500b8a85051483de0406fa847eae35d53ce4032bb6ac7",
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"scale_dtype": "torch.float32",
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"size_delta_vs_default": 0,
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"source_file": "model.pt",
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"source_repo": "moondream/moondream-next",
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