Codesota · Models · utter-project/EuroLLM-1.7B-Instructutter-project16 results · 2 benchmarks
Model card

utter-project/EuroLLM-1.7B-Instruct.

utter-projectopen-weights1.66B params
§ 02 · Benchmarks

Every benchmark utter-project/EuroLLM-1.7B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions0.8%#85/93—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology2.3%#86/93—source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandingaverage1.8%#88/93—source ↗
04CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding1.8%#88/93—source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment2.2%#91/93—source ↗
06Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench9.8%#253/299—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book42.0%#312/337—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book73.2%#388/489—source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk27.0%#436/489—source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc25.0%#437/490—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd15.5%#442/490—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage9.2%#464/491—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc34.3%#477/490—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in28.5%#484/490—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele24.0%#485/490—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative16.9%#487/489—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 utter-project/EuroLLM-1.7B-Instruct actually performs.

Natural Language Processing
2
benchmarks
avg rank #318.9
§ 05 · Related models

Other utter-project models scored on Codesota.

EuroLLM-22B-2512
0 results
EuroLLM-22B-Instruct-2512
0 results
EuroLLM-22B-Instruct-Preview
0 results
EuroLLM-9B
0 results
EuroMoE-2.6B-A0.6B-Instruct-Preview
0 results
utter-project/EuroLLM-9B-Instruct
9B params · 0 results
§ 06 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
16 of 16 rows marked verified.