Model card
Qwen2.5-3B-Instruct.
Alibabaopen-source
§ 01 · Benchmarks
Every benchmark Qwen2.5-3B-Instruct has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | math | 6.4% | #19 | — | source ↗ |
| 02 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | extraction | 8.4% | #22 | — | source ↗ |
| 03 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | coding | 5.0% | #26 | — | source ↗ |
| 04 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | pl-score | 6.3% | #29 | — | source ↗ |
| 05 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | reasoning | 4.3% | #34 | — | source ↗ |
| 06 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | roleplay | 6.5% | #35 | — | source ↗ |
| 07 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | humanities | 7.8% | #40 | — | source ↗ |
| 08 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | writing | 5.5% | #40 | — | source ↗ |
| 09 | Polish MT-Bench | Natural Language Processing · Polish Conversation Quality | stem | 6.8% | #41 | — | 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.
§ 02 · Strengths by area
Where Qwen2.5-3B-Instruct actually performs.
§ 04 · Related models
Other Alibaba models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
SpeakLeash/MT-Bench-PL
9
results
9 of 9 rows marked verified.