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Zhang and colleagues: OPT open pretrained transformer family

Contribution grade

Foundation language models · Human-designed AI research method or resource

Reference score18,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Released a family of 125M–175B-parameter decoder-only language models with training logs and evaluation, expanding access to large-scale model research.

Scientific scope

Released a family of 125M–175B-parameter decoder-only language models with training logs and evaluation, expanding access to large-scale model research. Scope limitation: This is the 2022 OPT paper and release, not an invention of decoder-only transformers or a claim of unrestricted access to every model.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. This is the 2022 OPT paper and release, not an invention of decoder-only transformers or a claim of unrestricted access to every model.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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