Instructions to use moondream/moondream3-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moondream/moondream3-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="moondream/moondream3-preview", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("moondream/moondream3-preview", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use moondream/moondream3-preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "moondream/moondream3-preview" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moondream/moondream3-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/moondream/moondream3-preview
- SGLang
How to use moondream/moondream3-preview 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/moondream3-preview" \ --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/moondream3-preview", "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/moondream3-preview" \ --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/moondream3-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use moondream/moondream3-preview with Docker Model Runner:
docker model run hf.co/moondream/moondream3-preview
Struggles with images of chastity cages
Congrats on the preview release.
Sadly in my testing the model completely fails to even recognize what a chastity cage is, or that its in the picture at least, instead describing it as some form of hand, fingers, toes, or ankle adorned with/wearing multiple rings (example of images where the model fails like this can be provided upon request if desired).
Otherwise thanks for your work.
i had a similar issue trying to identify the symmetry group of various chastity cages
otherwise SOTA spatial reasoning
Congrats on the preview release.
Sadly in my testing the model completely fails to even recognize what a chastity cage is, or that its in the picture at least, instead describing it as some form of hand, fingers, toes, or ankle adorned with/wearing multiple rings (example of images where the model fails like this can be provided upon request if desired).
Otherwise thanks for your work.
Notably the model does seem to recognize and describe futanari anthropomorphic penises quite well, so perhaps you should alter your viewing habits?