Olmo-3-Think is a fully open-source language model series launched by the Allen Institute for Artificial Intelligence, available in two scales: 7B and 32B. This model is specially trained to demonstrate clear reasoning chains, support transparent step-by-step reasoning and inspectable intermediate thinking traces, and performs excellently in reasoning, mathematics, and code tasks.

Natural Language ProcessingTransformersEnglish

This is a 4-bit quantized large language model based on the MLX framework, developed by the Swiss Artificial Intelligence Research Institute. It supports multilingual text generation tasks and is released under the Apache-2.0 license.

Natural Language ProcessingMlxOther

MolmoAct is an open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically optimized for single-arm Franka robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is a fully open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built based on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically designed for robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is an open-source action reasoning model developed by the Allen Institute for Artificial Intelligence, specifically designed for robot operation tasks. This model is built on Qwen2.5-7B and SigLip2, and is trained on 93 operation tasks in home and desktop environments, with leading vision-language-action processing capabilities.

MultimodalTransformersEnglish

MolmoAct is an open - source action reasoning model developed by the Allen Institute for Artificial Intelligence, specifically designed for robot operation tasks. This model is based on the Qwen2.5 - 7B language model and the SigLip2 visual backbone network, and is trained on 93 unique operation tasks in home and desktop environments, with leading visual - language - action reasoning performance.

MultimodalTransformersEnglish

Llama-3.1-8B-Instruct-RM-RB2 is one of the reward models released by the Allen Institute for Artificial Intelligence. It is fine-tuned based on Llama-3.1-8B-Instruct and is used to evaluate and optimize the preference learning of generative models.

Natural Language ProcessingTransformersEnglish

Llama-3.1-70B-Instruct-RM-RB2 is one of the 7 reward models released by the Allen Institute for Artificial Intelligence, used to develop benchmarks and conduct correlation analysis with downstream PPO/Best-of-N performance.

Natural Language ProcessingTransformersEnglish

OLMo 2 1B is the smallest model in the open language model series released by the Allen Institute for Artificial Intelligence, based on OLMo-mix-1124 pre-training and further trained with the Dolmino-mix-1124 dataset during the intermediate training phase.

Natural Language ProcessingTransformersEnglish

Tülu3 is a new generation of instruction-following model family developed by the Allen Institute for Artificial Intelligence, excelling in standard chat applications and complex problem-solving.

Natural Language ProcessingGguf

This is a biomedical named entity recognition model jointly developed by Bayer Pharmaceuticals and the Serbian Institute for Artificial Intelligence Research and Development. It supports zero-shot and few-shot learning and can recognize 26 categories of biomedical entities, including various types such as diseases, chemicals, and genes.

Natural Language ProcessingTransformersEnglish