Allen Institute for AI

Tulu 3 405B is a large language model developed by the Allen Institute for AI (AI2), fine-tuned from Meta's Llama 3.1 405B base model. It is optimized for strong instruction-following and reasoning capabilities, aiming to be a high-performance, open-source model for complex tasks.

Molmo 7B-D is a multimodal model from Allen Institute for AI, designed for strong vision-language understanding. As a 7B parameter model, it offers a balance of capability and efficiency for various visual question answering and image description tasks.

Molmo2-8B is a multimodal model from Allen Institute for AI, designed for strong performance in visual question answering and image understanding. It balances capability with efficiency, making it suitable for deployment in resource-constrained environments.

OLMo 2 32B is a 32-billion parameter open-source language model from the Allen Institute for AI. It is part of the fully open OLMo 2 series, designed to provide a transparent and reproducible foundation for research and development.

OLMo 2 7B is an open-source, fully reproducible language model developed by the Allen Institute for AI (AI2). It is designed for research and transparency, offering strong performance for its size on general language tasks.

Olmo 3 32B Think is an open-source language model from the OLMo series developed by the Allen Institute for AI. It is a 32-billion parameter model designed with a focus on reasoning capabilities, as indicated by the 'Think' designation.

OLMo 3 7B Instruct is an open-source, instruction-tuned language model developed by the Allen Institute for AI. It is designed for strong instruction following and conversational capabilities within a relatively compact 7-billion parameter architecture.

OLMo 3 7B Think is a 7-billion parameter language model from Allen Institute for AI, optimized for reasoning tasks using chain-of-thought techniques. It is part of the open-source OLMo 3 family, designed to provide strong performance on complex problem-solving while maintaining a relatively small size.

OLMo 3.1 32B Instruct is an open-source, instruction-tuned language model developed by the Allen Institute for AI. It is part of the OLMo family, designed for general-purpose conversational and task-oriented applications with a focus on transparency and reproducibility.

OLMo 3.1 32B Think is an open-source, 32-billion parameter language model from Allen Institute for AI, optimized for reasoning tasks. It features an integrated 'thinking' or chain-of-thought mode to enhance complex problem-solving and logical deduction. As part of the OLMo family, it emphasizes transparency and accessibility for research and development.