An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.
385.8K Pulls 5 Tags Updated 2 months ago
Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.
582.2K Pulls 17 Tags Updated 3 months 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.
270.3K Pulls 5 Tags Updated 5 months ago
Meta's latest collection of multimodal models.
673.4K Pulls 11 Tags Updated 3 months ago
The current, most capable model that runs on a single GPU.
16.4M Pulls 26 Tags Updated 1 month 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.
301.2K Pulls 5 Tags Updated 6 months ago
Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.
2.5M Pulls 9 Tags Updated 3 months ago
A series of multimodal LLMs (MLLMs) designed for vision-language understanding.
3.2M Pulls 17 Tags Updated 10 months ago
A new small LLaVA model fine-tuned from Phi 3 Mini.
122.1K Pulls 4 Tags Updated 1 year ago
A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.
1.7M Pulls 4 Tags Updated 1 year ago
moondream2 is a small vision language model designed to run efficiently on edge devices.
252K Pulls 18 Tags Updated 1 year ago
BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.
138K Pulls 17 Tags Updated 1 year 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.
9.6M Pulls 98 Tags Updated 1 year ago