A fully open 7B language model from Ai2 (open weights, Dolma 3 data, code, and recipes). Base/Think/Instruct/RL variants; strong reasoning at 7B scale. Apache 2.0.
Parameters
7B
parameters
Release date
1 November 2025
Access:DownloadHostedDeployment:๐ป Localโ Cloud
Overview
Access & deployment
DownloadHosted
LocalCloud
Weights: Open source
Key parameters
๐งฉ Parameters: 7B
โ Toolsย ยทย โ Fine-tuning
๐ฅ Input: text
Technical specification
Parameters
7B
parameters
License
Apache 2.0
Hardware requirements
7B model; Base/Think/Instruct/RL variants. OLMoCore framework + Open Instruct pipeline.
Features:โ Tool useโ Fine-tuning
Modalities
โฌ Input
text
โฌ Output
textcode
Capabilities and applications
Native model capabilities
Language modeling
Ability to predict subsequent tokens and generate coherent natural-language text based on the preceding context.
Category: language
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Mathematical reasoning
The model's ability to solve mathematical tasks requiring multi-step reasoning โ equations, proofs, combinatorics, geometry, calculus and competition-level problems.
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Instruction following
Precisely following instructions contained in the prompt: response format, length, style, constraints (e.g. 'reply in six words'). GPT-5.1 significantly improved this capability compared to GPT-5.
Category: language
Tool use
The model's ability to call external functions, APIs and tools during a conversation: calculator, search engine, code editor, database. The model decides when and how to use a tool and interprets its result.
Category: planning
Technical architecture
Core Architecture
Training Techniques
