moondream2 is a small vision language model built to run efficiently on edge devices 4. It can be run through the Replicate cloud API, where lucataco/moondream2 is hosted 1.
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Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 4lucataco/moondream2: declares "lucataco/moondream2" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
lucataco/moondream2 · lucataco/moondream2 verified and signed
moondream2 is a small vision language model designed to run efficiently on edge devices
lucataco/moondream1 · lucataco/moondream1 verified and signed
(Research only) Moondream1 is a vision language model that performs on par with models twice its size
langchain · Docs by LangChain verified and signed
Use when building AI agents, integrating language models with
chenxwh/cogvlm2 · chenxwh/cogvlm2 verified and signed
CogVLM2: Visual Language Models for Image and Video Understanding
lucataco/qwen3-vl-8b-instruct · lucataco/qwen3-vl-8b-instruct verified and signed
A powerful vision-language model in the Qwen series
deepseek-ai/deepseek-vl2 · deepseek-ai/deepseek-vl2 verified and signed
DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL
chenxwh/deepseek-vl2 · chenxwh/deepseek-vl2 verified and signed
Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
deepseek-ai/deepseek-vl-7b-base · deepseek-ai/deepseek-vl-7b-base verified and signed
DeepSeek-VL: An open-source Vision-Language Model designed for real-world vision and language understanding applications
yorickvp/llava-v1.6-mistral-7b · yorickvp/llava-v1.6-mistral-7b verified and signed
LLaVA v1.6: Large Language and Vision Assistant (Mistral-7B)
yorickvp/llava-13b · yorickvp/llava-13b verified and signed
Visual instruction tuning towards large language and vision models with GPT-4 level capabilities
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.