OLMo-2-1B
Ai2's fully open 1B model with public training data and code.
About
OLMo-2-1B is the 1-billion-parameter tier of OLMo 2, the Allen Institute for AI's second-generation fully open language model family. Like the rest of the OLMo line, it ships with open training data, training code, and evaluation harnesses, not just weights, making it one of the most reproducible small models available.
Ai2 positions OLMo as the research community's answer to closed training pipelines: everything from the data mix to the checkpoints is public, which makes the 1B variant a popular testbed for studying training dynamics and data effects at low cost.
OLMo 2 models are released under Apache 2.0. The 1B size runs comfortably on consumer hardware and in browsers, and it is widely used as a baseline in open-model research.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 100; Trending score 72/100 from researcher assessment.