Model card
Qwen2.5-14B-Instruct.
Qwenopen-source14.8B params
§ 01 · Benchmarks
Every benchmark Qwen2.5-14B-Instruct has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 65.2% | #1 | — | source ↗ |
| 02 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 89.1% | #2 | — | source ↗ |
| 03 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 69.2% | #22 | — | source ↗ |
| 04 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 90.6% | #27 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 3.3% | #31 | — | source ↗ |
| 06 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 3.9% | #34 | — | source ↗ |
| 07 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 3.5% | #37 | — | source ↗ |
| 08 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 3.4% | #40 | — | source ↗ |
| 09 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 3.6% | #45 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 59.9% | #76 | — | source ↗ |
| 11 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 32.3% | #102 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 61.0% | #107 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 75.0% | #116 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 80.7% | #292 | — | 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 Qwen2.5-14B-Instruct actually performs.
§ 04 · Related models
Other Qwen models scored on Codesota.
QwQ-32B
0 results
QwQ-32B-Preview
0 results
Qwen/Qwen2.5-0.5B-Instruct
0.49B params · 0 results
Qwen/Qwen3-14B non-thinking (API)
14B params · 0 results
Qwen/Qwen3-235B-A22B non-thinking (API)
235B params · 0 results
Qwen/Qwen3-30B-A3B non-thinking (API)
30B params · 0 results
Qwen/Qwen3-32B non-thinking (API)
32B params · 0 results
Qwen/Qwen3-8B non-thinking (API)
8B params · 0 results
§ 05 · Sources & freshness
Where these numbers come from.
speakleash/open_pl_llm_leaderboard
8
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
14 of 14 rows marked verified.