Codesota · Models · mistralai/Mistral-7B-Instruct-v0.3mistralai17 results · 3 benchmarks
Model card

mistralai/Mistral-7B-Instruct-v0.3.

mistralaiopen-weights7.25B params
§ 02 · Benchmarks

Every benchmark mistralai/Mistral-7B-Instruct-v0.3 has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions2.0%#64/93—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment3.3%#67/93—source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.1%#69/93—source ↗
04CPTU-BenchNatural Language Processing · Polish Text Understandingaverage2.8%#71/93—source ↗
05Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score45.2%#71/101—source ↗
06CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology2.7%#73/93—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench31.7%#136/299—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative45.9%#151/489—source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc46.8%#151/490—source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage42.6%#177/491—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele71.7%#224/490—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book56.6%#225/337—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in71.5%#258/490—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk44.9%#267/489—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd23.9%#269/490—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc61.3%#330/490—source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book65.2%#437/489—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 mistralai/Mistral-7B-Instruct-v0.3 actually performs.

Natural Language Processing
3
benchmarks
avg rank #178.8
§ 05 · Related models

Other mistralai models scored on Codesota.

mistralai/Mistral-Large-Instruct-2407
123B params · 17 results
mistralai/Mistral-Large-Instruct-2411
123B params · 17 results
mistralai/Mistral-Nemo-Instruct-2407
12.2B params · 17 results
mistralai/Mistral-Small-24B-Instruct-2501
23.6B params · 17 results
mistralai/Mixtral-8x22B-Instruct-v0.1 (API)
141B params · 17 results
mistralai/Mixtral-8x7B-Instruct-v0.1
46.7B params · 17 results
Mistral-7B-Instruct-v0.2
13 results
Mistral-7B-Instruct-v0.1
12 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.