Famous Vision Language Models and Their Architectures

A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.

Reinforcement Learning of Vision Language Models with Self Visual Perception Reward

ComfyUI-QwenVL custom node integrates the Qwen-VL series, including the latest Qwen3-VL models, including Qwen2.5-VL and the latest Qwen3-VL, to enable advanced multimodal AI for text generation, image understanding, and video analysis.

Mark web pages for use with vision-language models

Running Large Language Model easily.

🛠️ Build and train multimodal models easily with LLaVA-OneVision 1.5, an open framework designed for seamless integration of vision and language tasks.

Qwen-VL base model for use with Autodistill.

creates text from video and audio using Qwen-VL and Whisper

Generate vivid, human-like captions for portrait images using the Qwen2.5-VL-7B model. Outputs dense descriptions covering emotion, posture, clothing, and environment.

A computer vision system for automated analysis of index cards from a collection of coin forgeries using Qwen2.5-VL vision-language model. Developed for the imagines nummorum project.