20+ models
Bonsai 2 from Prism ML is a family of vision models built for ternary weights – smaller models with close to full-precision quality.
Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.
Nemotron 3.5 Super is NVIDIA’s vision-language model for coding, reasoning, tool use, and document understanding
DeepSeek-OCR is a vision-language model that can perform token-efficient OCR.
The most powerful vision-language model in the Qwen model family to date.
Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.
🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.
Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.
A series of multimodal LLMs (MLLMs) designed for vision-language understanding.
moondream2 is a small vision language model designed to run efficiently on edge devices.
A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.
Building upon Mistral Small 3, Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.
A 9B decision model from Bespoke Labs for fast classification, routing, and scoring.
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.
A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106.
Unsloth Dynamic Q4_K_XL with MTP & Vision
Uncensored
RANA: an abliterated, uncensored Qwen3.8-27B with vision, thinking and tools, from Abliterant.