Molmo 2 - Advanced video comprehension, pointing, and tracking.

Molmo 2 is a cutting-edge video understanding tool that enhances capabilities in video pointing, tracking, and analysis. Building on the success of its predecessor, Molmo, this new model expands its strengths to video and multi-image understanding, making it a vital resource for various applications, including robotics, traffic monitoring, and scientific measurement. With its advanced architecture and extensive training data, Molmo 2 aims to set new standards in multimodal intelligence.

1. Three Model Variants

   • Molmo 2 (8B): Best overall model for video grounding and QA, based on Qwen 3.

   • Molmo 2 (4B): Optimized for efficiency while maintaining strong performance.

   • Molmo 2-O (7B): Fully open model flow built on Olmo, ideal for researchers needing complete control.

2. State-of-the-Art Performance

   Molmo 2 outperforms previous models and competitors in video tracking, image reasoning, and human preference evaluations, demonstrating superior localization and reasoning capabilities.

3. Video Grounding and Tracking

   The model excels in video counting and spatial-temporal localization, providing concrete visual evidence for queries rather than just numerical answers.

4. Open and Extensible Architecture

   Molmo 2 features a vision encoder and a language model backbone, allowing for joint reasoning over space, time, and language, enhancing its multimodal capabilities.

5. Rich Dataset for Training

   Trained on over 9 million examples, including nine new datasets specifically designed for dense captioning and grounded pointing/tracking, ensuring comprehensive coverage of various scenarios.

6. User-Friendly Interface

   Available in the Ai2 Playground, users can easily upload clips or images to run video summarization, counting, tracking, or grounded QA.

1. Visit the Ai2 Playground to explore Molmo 2's capabilities.
2. Upload video clips or multiple images for analysis.
3. Utilize the model for video summarization, counting, and tracking tasks.
4. Experiment with grounded QA to see how the model interprets visual data.

What is Molmo 2?

Molmo 2 is an advanced video understanding model designed for tasks like video pointing, tracking, and analysis, enhancing multimodal intelligence applications.

How does Molmo 2 work?

It processes video frames and images using a vision encoder and a language model, allowing for joint reasoning over visual and textual data.

Can I use Molmo 2 for commercial projects?

Molmo 2 is licensed under Apache 2.0 for academic and non-commercial research use. Review the licensing terms for specific use cases.

How does Molmo 2 compare to other models?

Molmo 2 sets new benchmarks in video understanding, outperforming both open-weight models and proprietary systems in various evaluations.

Price data is not available yet; please visit the official website for more information.

1. Strengths: Molmo 2 demonstrates exceptional capabilities in video understanding, outperforming previous models and competitors in various benchmarks. Its architecture allows for effective reasoning across multiple modalities, making it a versatile tool for researchers and developers.

2. Areas for Improvement: While Molmo 2 excels in many areas, there is still room for enhancement in long-video understanding, where larger proprietary systems maintain an advantage. Additionally, further refinement in user interface and accessibility could broaden its appeal to non-technical users.

3. Overall Impression: Molmo 2 is a significant advancement in video understanding technology, providing robust tools for a range of applications. However, ongoing development and user feedback will be crucial for its evolution and broader adoption in the field.