Codesota · Models · Qwen/Qwen2.5-1.5B-InstructQwen17 results · 3 benchmarks
Model card

Qwen/Qwen2.5-1.5B-Instruct.

Qwenopen-weights1.54B params
§ 02 · Benchmarks

Every benchmark Qwen/Qwen2.5-1.5B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment2.8%#84/93source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions0.7%#86/93source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology2.2%#88/93source ↗
04CPTU-BenchNatural Language Processing · Polish Text Understandingaverage1.8%#89/93source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding1.4%#91/93source ↗
06Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score27.6%#91/101source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench21.7%#177/299source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book55.5%#235/337source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk46.3%#247/489source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage31.9%#321/491source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc36.5%#334/490source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele64.8%#351/490source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative36.1%#371/489source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in68.3%#383/490source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc51.6%#398/490source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book63.9%#447/489source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd6.4%#489/490source ↗
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 Qwen/Qwen2.5-1.5B-Instruct actually performs.

Natural Language Processing
3
benchmarks
avg rank #251.9
§ 05 · Related models

Other Qwen models scored on Codesota.

Qwen3-VL-235B-A22B-Instruct
7 results · 1 SOTA
Qwen3-VL-235B-A22B-Thinking
7 results
Qwen3-VL-8B-Instruct
7 results
Qwen3-Coder-Next
5 results
QwQ-32B
0 results
QwQ-32B-Preview
0 results
Qwen-3.7-Max
0 results
Qwen/Qwen1.5-72B-Chat
72.3B params · 0 results
§ 06 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
17 of 17 rows marked verified.