LLM Models · allenai
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
FlexOlmo is a new kind of LM that unlocks a new paradigm of data collaboration. With FlexOlmo, data owners can contribute to the development of open language models without giving up control of their data. There is no need to share raw data directly, and data contributors can dec…
Molmo is a family of open vision-language models developed by the Allen Institute for AI. Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs. It has state-of-the-art performance among multimodal models with a similar size while being fully…
Upon the initial release of OLMo-2 models, we realized the post-trained models did not share the pre-tokenization logic that the base models use. As a result, we have trained new post-trained models. The new models are available under the same names as the original models, but we…
Molmo2-ER (Embodied Reasoning) is a 4B vision–language model specialized for the embodied perception skills that downstream action models depend on: scene understanding, pixel-accurate pointing, multi-image and egocentric–exocentric correspondence, and video temporal reasoning.
MolmoPoint-8B MolmoPoint-8B is a fully-open VLM developed by the Allen Institute for AI (Ai2) that support image, video and multi-image understanding and grounding. It has new pointing mechansim that improves image pointing, video pointing, and video tracking, see our technical r…