CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning
-
Updated
Apr 10, 2026 - Python
CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning
A Gradio-based demonstration for the AllenAI SAGE-MM-Qwen3-VL-4B-SFT_RL multimodal model, specialized in video reasoning tasks. Users upload MP4 videos, provide natural language prompts (e.g., "Describe this video in detail" or custom questions), and receive detailed textual analyses.
A Gradio-based demonstration for the AllenAI Molmo2-8B multimodal model, enabling image QA, multi-image pointing, video QA, and temporal tracking. Users upload images or videos, provide natural language prompts.
🎥 Analyze MP4 videos interactively, generating detailed text responses from custom prompts using the SAGE-MM visual reasoning model.
Add a description, image, and links to the molmo2 topic page so that developers can more easily learn about it.
To associate your repository with the molmo2 topic, visit your repo's landing page and select "manage topics."