AI-powered assistant to help you with your daily tasks, powered by Llama 3, DeepSeek R1, and many more models on HuggingFace.

A CPU Realtime VLM in 500M. Surpassed Moondream2 and SmolVLM. Training from scratch with ease.

A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.

tiny vision language model

ComfyUI wrapper for Moondream's gaze detection

Use the Moondream 2 model to detect faces and their gaze directions in videos.

Moondream is a lightweight multimodal large language model

Python scripts to use for captioning images with VLMs

Moondream MCP Server in Python

A powerful video summarization tool that utilizes Moondream alongside multiple AI models to provide comprehensive video understanding through audio transcription, intelligent frame selection, visual description, and content summarization.

Automatically annotates YOLO dataset using Moondream visual model

Modal moondream inference

full text search your meme/screenshot folder with small LMs x traditional OCR

Integrate moondream2 with the Telegram api

This tool uses Moondream 2B, a powerful yet lightweight vision-language model, to detect and redact objects from videos. Moondream can recognize a wide variety of objects, people, text, and more with high accuracy while being much smaller than most vision models.

Pheye - a family of efficient small vision-language models

Unleashing the power of local vlms with moondream and streamlit

A helpful Jupyter notebook that uses the Moondream 2B model to detect faces and their gaze directions in videos. It processes videos frame by frame, visualizing face detections and gaze directions. Directly run on Colab

MoonLabel: Moondream VLM labeler for object detection and image captions with one‑click YOLO, COCO, VOC, and Captions export.

Capitalizing moondream's capabilities to build a CCTV frame-on-framer analyzer