Multimodal

MolmoPoint: Better Pointing for VLMs with Grounding Tokens

MolmoPoint is a new VLM architecture that enables more precise and efficient visual grounding by using special tokens to directly select from the model's internal visual representation instead of generating text coordinates.

Jun 5, 2026

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Molmo2 is a new family of open-source video-language models that achieve state-of-the-art performance through novel datasets and training methods, particularly excelling in video grounding tasks without relying on proprietary models.

Jun 3, 2026

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

We present Molmo, a new family of state-of-the-art VLMs. Starting from pre-trained vision encoders and language-only LLMs, the entire remainder of our VLM pipeline – weights, code, data, and evaluations – is open and free from VLM distillation.

Jun 1, 2025