Open-source projects tagged “vision-language-model”

Open-source native vision-language models (NEO series) that process pixels and words in one encoder-free dense architecture, with 2B and 9B releases.

A unified training engine for multimodal models, supporting vision-language, diffusion, and MoE architectures with FSDP2, Muon, and Liger kernels.

Converts PDFs, Office files, scans, screenshots and diagrams into Markdown by sending pages to your own OpenAI-compatible vision model.

Open-source native multimodal models that handle image understanding, text-to-image generation, and image editing within one unified architecture.

A small educational project for running vision-language model inference on Apple Silicon with MLX, scoring candidate answers about one image.

A 9B-parameter open-weight multimodal model for visual understanding, spatial reasoning, tool use, and embodied-AI research, built on Qwen3.5 and C-RADIOv4-H.

A unified multimodal model that handles many computer vision tasks by generating text, images, or both from natural-language instructions.