OLMo 1B
Released
2024-02-01
Last refreshed
2026-10-13
Status
Researched 3d ago
Open sourceCommercial use: permittedClassificationJSON / Tool use
OLMo 1B is a released classification and json / tool use model with open-source; evaluate it while provider pricing coverage matures.
Allen Institute for Artificial Intelligence (AI2) releases · 2 in the last 12 monthsChangelog →
Specifications
- Family
- OLMo
- Released
- 2024-02-01
- Context
- 2K
- Parameters
- 1B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-03
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- base
Created by
Pricing
No tracked provider pricing is available yet.
About
OLMo 1B is a 1-billion-parameter decoder-only language model from the Allen Institute for AI (AI2), trained on 3 trillion tokens of AI2's open Dolma dataset with a 2,048-token context length. It takes text in and produces text out, and AI2 publishes its weights on Hugging Face along with intermediate training checkpoints and the training code.
Providers
No active provider routes are tracked for this model yet.
Capabilities
Structured Outputs
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Created by
Pricing
No tracked provider pricing is available yet.