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Model Details
Domain:
Model Access:
Open weights (unrestricted)
Introduction
Language models (LMs) have become ubiquitous in both NLP research and in commercial product offerings. As their commercial importance has surged, the most powerful models have become closed off, gated behind proprietary interfaces, with important details of their training data, architectures, and development undisclosed. Given the importance of these details in scientifically studying these models, including their biases and potential risks, we believe it is essential for the research community to have access to powerful, truly open LMs. To this end, this technical report details the first release of OLMo, a state-of-the-art, truly Open Language Model and its framework to build and study the science of language modeling. Unlike most prior efforts that have only released model weights and inference code, we release OLMo and the whole framework, including training data and training and evaluation code. We hope this release will empower and strengthen the open research community and inspire a new wave of innovation.
Benchmarking
FLOPs
1.03e+23Notes: direct calculation: 6*7B*2.46trillion=1.0332 × 10^23 (calculation also reporoduced by the developers in https://arxiv.org/pdf/2501.00656)
Training
Training Code Accessibility
License: The code and model are released under Apache 2.0.
Weights https://huggingface.co/allenai/OLMo-7B
Code https://github.com/allenai/OLMoHardware
AMD Radeon Instinct MI250X,NVIDIA A100Size Notes: "We built our training dataset out of a 2T-token sample from our open dataset, Dolma [...] All of our released models have been trained to at least 2T tokens (a single epoch over our training data), and some have been trained beyond that by starting a second epoch over the data with a different shuffling order" Table 1 indicates total tokens seen are 2.46T for the 7B parameter model, though note that a later release in July 2024 has been trained to 2.75T tokens: https://github.com/allenai/OLMo?tab=readme-ov-file
Parameters
Parameters
7000000000Authors
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
