kyegomez/MultiModalMamba

Emu Series: Generative Multimodal Models from BAAI

WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

OmniFusion — a multimodal model to communicate using text and images

A family of lightweight multimodal models.

TIPSv2 (CVPR'26) and TIPS (ICLR'25)

DeepSeek-VL: Towards Real-World Vision-Language Understanding

GPT4V-level open-source multi-modal model based on Llama3-8B

VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.