allenai·released 2025-04-171 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by allenai and released in 2025, this model is a compact 1.48-billion-parameter model. That compact scale implies a trade-off toward efficiency and lower cost, but with less headroom than larger models.
4 cited facts
This model is not yet benchmarked, as it has not been scored on any tracked benchmarks.
1 cited fact
Because avg sota gap is unknown, no average points-behind figure can be given, so no frontier, competitive, or well-behind band can be assigned. It holds the top score on zero benchmarks, which means it has no category leadership at present.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models
OLMo-2-0425-1B is an AI model developed by allenai, released 2025-04-17. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.