Codesota · Models · Mistral-7B-v0.3mistralai7 results · 1 benchmarks
Model card

Mistral-7B-v0.3.

mistralaiopen-source
§ 01 · Benchmarks

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

#BenchmarkArea · TaskMetricValueRankDateSource
01Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book85.2%#197/489source ↗
02Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage38.9%#223/491source ↗
03Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele70.9%#236/490source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd19.8%#331/490source ↗
05Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in69.5%#331/490source ↗
06Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk39.9%#355/489source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc53.5%#388/490source ↗
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.
§ 02 · Strengths by area

Where Mistral-7B-v0.3 actually performs.

Natural Language Processing
1
benchmark
avg rank #294.4
§ 04 · Related models

Other mistralai models scored on Codesota.

Ministral-8B-Instruct-2410
0 results
Mistral-7B-Instruct-v0.1
0 results
Mistral-7B-Instruct-v0.2
0 results
Mistral-7B-Instruct-v0.3
7.25B params · 0 results
Mistral-Large-Instruct-2407
123B params · 0 results
Mistral-Large-Instruct-2411
123B params · 0 results
Mistral-Nemo-Base-2407
0 results
Mistral-Nemo-Instruct-2407
12.2B params · 0 results
§ 05 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
7
results
7 of 7 rows marked verified.