GPT Neo 2.7B — Benchmarks
Benchmark scores for GPT Neo 2.7B aggregated from public leaderboards (4 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.
No llmrun Composite Score for GPT Neo 2.7B: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.
GPT Neo 2.7B reasoning benchmarks
Multi-step logic and problem-solving — can the model think through a hard problem rather than recall an answer.
GPT Neo 2.7B knowledge benchmarks
Breadth and depth of factual knowledge across many subjects, paired with the reasoning to apply it.
42.7%
42.7%
median 76.2%open leader 89.2%
Overall best: GPT 4 (Mar 14) 95.3%
4th percentile · #45 of 47 open · #73 of 75 all
Lab-reportedEpoch AI ·
Other results (2)
Leaderboard-only, not part of the llmrun Score
Scores aggregated from public benchmark sources (Epoch AI: 4 boards) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.