The most powerful vision-language model in the Qwen model family to date.
92.4K Pulls 59 Tags Updated 1 week ago
The current, most capable model that runs on a single GPU.
24.2M Pulls 26 Tags Updated 2 months ago
🌋 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.
11.4M Pulls 98 Tags Updated 1 year ago
A series of multimodal LLMs (MLLMs) designed for vision-language understanding.
4M Pulls 17 Tags Updated 11 months ago
Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.
2.8M Pulls 9 Tags Updated 5 months ago
A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.
2M Pulls 4 Tags Updated 1 year ago
Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.
1M Pulls 17 Tags Updated 5 months ago
Meta's latest collection of multimodal models.
764.6K Pulls 11 Tags Updated 4 months ago
An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.
733.4K Pulls 5 Tags Updated 4 months ago
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.
432.8K Pulls 5 Tags Updated 8 months ago
moondream2 is a small vision language model designed to run efficiently on edge devices.
417.3K Pulls 18 Tags Updated 1 year ago
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.
359.7K Pulls 5 Tags Updated 7 months ago
BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.
147.8K Pulls 17 Tags Updated 1 year ago
A new small LLaVA model fine-tuned from Phi 3 Mini.
130.6K Pulls 4 Tags Updated 1 year ago