OLMo 2 13B
High-performance English academic benchmark language model
Product Details
OLMo 2 13B is a Transformer-based autoregressive language model developed by the Allen Institute for AI (Ai2), focusing on English academic benchmarks. The model used up to 5 trillion tokens in the training process, demonstrated performance comparable to or better than fully open models of the same size, and competed with Meta and Mistral's open weight models on English academic benchmarks. The release of OLMo 2 13B includes all code, checkpoints, logs and related training details and is designed to advance scientific research in language models.
Main Features
How to Use
Target Users
The target audience is researchers, developers and enterprises in the field of natural language processing, who need a powerful English language model to handle complex text tasks, such as text generation, question answering systems, text classification, etc. OLMo 2 13B is particularly suitable for users who need to process large amounts of English data due to its excellent performance and wide range of application scenarios.
Examples
Used to generate coherent text continuations, such as story creation, article writing, etc.
In question answering systems, used to understand and generate answers to questions.
As a text classifier, classify and label large amounts of documents.
Quick Access
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