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
Download config.json from moondream/moondream-next: direct link, hf CLI and curl.
- Browser
- Download file 276 Bytes
-
https://huggingface.co/moondream/moondream-next/resolve/main/config.json
- Command line
-
hf download hf://moondream/moondream-next/config.json
-
curl -L -o config.json https://huggingface.co/moondream/moondream-next/resolve/main/config.json
276 Bytes
| { | |
| "architectures": [ | |
| "HfMoondream" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "hf_moondream.HfConfig", | |
| "AutoModelForCausalLM": "hf_moondream.HfMoondream" | |
| }, | |
| "config": {}, | |
| "model_type": "moondream1", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.51.2" | |
| } | |