Model card
Gemma-2-27b.
Googleopen-source
§ 02 · Benchmarks
Every benchmark Gemma-2-27b has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | PLCC | Natural Language Processing · Polish Cultural Competency | culture-and-tradition | 41.0% | #123 | — | source ↗ |
| 02 | PLCC | Natural Language Processing · Polish Cultural Competency | vocabulary | 37.0% | #125 | — | source ↗ |
| 03 | PLCC | Natural Language Processing · Polish Cultural Competency | grammar | 46.0% | #126 | — | source ↗ |
| 04 | PLCC | Natural Language Processing · Polish Cultural Competency | average | 42.7% | #132 | — | source ↗ |
| 05 | PLCC | Natural Language Processing · Polish Cultural Competency | art-and-entertainment | 32.0% | #132 | — | source ↗ |
| 06 | PLCC | Natural Language Processing · Polish Cultural Competency | geography | 47.0% | #134 | — | source ↗ |
| 07 | PLCC | Natural Language Processing · Polish Cultural Competency | history | 53.0% | #134 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Gemma-2-27b actually performs.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
sdadas/PLCC
7
results
7 of 7 rows marked verified.