Copertina

Olmo 3

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Olmo, Team, :, Ettinger, Allyson, Bertsch, Amanda, Kuehl, Bailey, Graham, David, Heineman, David, Groeneveld, Dirk, Brahman, Faeze, Timbers, Finbarr, Ivison, Hamish, Morrison, Jacob, Poznanski, Jake, Lo, Kyle, Soldaini, Luca, Jordan, Matt, Chen, Mayee, Noukhovitch, Michael, Lambert, Nathan, Walsh, Pete, Dasigi, Pradeep, Berry, Robert, Malik, Saumya, Shah, Saurabh, Geng, Scott, Arora, Shane, Gupta, Shashank, Anderson, Taira, Xiao, Teng, Murray, Tyler, Romero, Tyler, Graf, Victoria, Asai, Akari, Bhagia, Akshita, Wettig, Alexander, Liu, Alisa, Rangapur, Aman, Anastasiades, Chloe, Huang, Costa, Schwenk, Dustin, Trivedi, Harsh, Magnusson, Ian, Lochner, Jaron, Liu, Jiacheng, Miranda, Lester James V., Sap, Maarten, Morgan, Malia, Schmitz, Michael, Guerquin, Michal, Wilson, Michael, Huff, Regan, Bras, Ronan Le, Xin, Rui, Shao, Rulin, Skjonsberg, Sam, Shen, Shannon Zejiang, Li, Shuyue Stella, Wilde, Tucker, Pyatkin, Valentina, Merrill, Will, Chang, Yapei, Gu, Yuling, Zeng, Zhiyuan, Sabharwal, Ashish, Zettlemoyer, Luke, Koh, Pang Wei, Farhadi, Ali, Smith, Noah A., Hajishirzi, Hannaneh
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
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_version_	1866914471947010048
author	Olmo, Team : Ettinger, Allyson Bertsch, Amanda Kuehl, Bailey Graham, David Heineman, David Groeneveld, Dirk Brahman, Faeze Timbers, Finbarr Ivison, Hamish Morrison, Jacob Poznanski, Jake Lo, Kyle Soldaini, Luca Jordan, Matt Chen, Mayee Noukhovitch, Michael Lambert, Nathan Walsh, Pete Dasigi, Pradeep Berry, Robert Malik, Saumya Shah, Saurabh Geng, Scott Arora, Shane Gupta, Shashank Anderson, Taira Xiao, Teng Murray, Tyler Romero, Tyler Graf, Victoria Asai, Akari Bhagia, Akshita Wettig, Alexander Liu, Alisa Rangapur, Aman Anastasiades, Chloe Huang, Costa Schwenk, Dustin Trivedi, Harsh Magnusson, Ian Lochner, Jaron Liu, Jiacheng Miranda, Lester James V. Sap, Maarten Morgan, Malia Schmitz, Michael Guerquin, Michal Wilson, Michael Huff, Regan Bras, Ronan Le Xin, Rui Shao, Rulin Skjonsberg, Sam Shen, Shannon Zejiang Li, Shuyue Stella Wilde, Tucker Pyatkin, Valentina Merrill, Will Chang, Yapei Gu, Yuling Zeng, Zhiyuan Sabharwal, Ashish Zettlemoyer, Luke Koh, Pang Wei Farhadi, Ali Smith, Noah A. Hajishirzi, Hannaneh
author_facet	Olmo, Team : Ettinger, Allyson Bertsch, Amanda Kuehl, Bailey Graham, David Heineman, David Groeneveld, Dirk Brahman, Faeze Timbers, Finbarr Ivison, Hamish Morrison, Jacob Poznanski, Jake Lo, Kyle Soldaini, Luca Jordan, Matt Chen, Mayee Noukhovitch, Michael Lambert, Nathan Walsh, Pete Dasigi, Pradeep Berry, Robert Malik, Saumya Shah, Saurabh Geng, Scott Arora, Shane Gupta, Shashank Anderson, Taira Xiao, Teng Murray, Tyler Romero, Tyler Graf, Victoria Asai, Akari Bhagia, Akshita Wettig, Alexander Liu, Alisa Rangapur, Aman Anastasiades, Chloe Huang, Costa Schwenk, Dustin Trivedi, Harsh Magnusson, Ian Lochner, Jaron Liu, Jiacheng Miranda, Lester James V. Sap, Maarten Morgan, Malia Schmitz, Michael Guerquin, Michal Wilson, Michael Huff, Regan Bras, Ronan Le Xin, Rui Shao, Rulin Skjonsberg, Sam Shen, Shannon Zejiang Li, Shuyue Stella Wilde, Tucker Pyatkin, Valentina Merrill, Will Chang, Yapei Gu, Yuling Zeng, Zhiyuan Sabharwal, Ashish Zettlemoyer, Luke Koh, Pang Wei Farhadi, Ali Smith, Noah A. Hajishirzi, Hannaneh
contents	We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function calling, coding, instruction following, general chat, and knowledge recall. This release includes the entire model flow, i.e., the full lifecycle of the family of models, including every stage, checkpoint, data point, and dependency used to build it. Our flagship model, Olmo 3 Think 32B, is the strongest fully-open thinking model released to-date.
format	Preprint
id	arxiv_https___arxiv_org_abs_2512_13961
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Olmo 3 Olmo, Team : Ettinger, Allyson Bertsch, Amanda Kuehl, Bailey Graham, David Heineman, David Groeneveld, Dirk Brahman, Faeze Timbers, Finbarr Ivison, Hamish Morrison, Jacob Poznanski, Jake Lo, Kyle Soldaini, Luca Jordan, Matt Chen, Mayee Noukhovitch, Michael Lambert, Nathan Walsh, Pete Dasigi, Pradeep Berry, Robert Malik, Saumya Shah, Saurabh Geng, Scott Arora, Shane Gupta, Shashank Anderson, Taira Xiao, Teng Murray, Tyler Romero, Tyler Graf, Victoria Asai, Akari Bhagia, Akshita Wettig, Alexander Liu, Alisa Rangapur, Aman Anastasiades, Chloe Huang, Costa Schwenk, Dustin Trivedi, Harsh Magnusson, Ian Lochner, Jaron Liu, Jiacheng Miranda, Lester James V. Sap, Maarten Morgan, Malia Schmitz, Michael Guerquin, Michal Wilson, Michael Huff, Regan Bras, Ronan Le Xin, Rui Shao, Rulin Skjonsberg, Sam Shen, Shannon Zejiang Li, Shuyue Stella Wilde, Tucker Pyatkin, Valentina Merrill, Will Chang, Yapei Gu, Yuling Zeng, Zhiyuan Sabharwal, Ashish Zettlemoyer, Luke Koh, Pang Wei Farhadi, Ali Smith, Noah A. Hajishirzi, Hannaneh Computation and Language Machine Learning We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function calling, coding, instruction following, general chat, and knowledge recall. This release includes the entire model flow, i.e., the full lifecycle of the family of models, including every stage, checkpoint, data point, and dependency used to build it. Our flagship model, Olmo 3 Think 32B, is the strongest fully-open thinking model released to-date.
title	Olmo 3
topic	Computation and Language Machine Learning
url	https://arxiv.org/abs/2512.13961