Codesota · Models · Mistral-Nemo-Instruct-2407-PL-finetunedRemek8 results · 1 benchmarks
Model card

Mistral-Nemo-Instruct-2407-PL-finetuned.

Remekopen-source
§ 01 · Benchmarks

Every benchmark Mistral-Nemo-Instruct-2407-PL-finetuned has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench55.9%#49/299—source ↗
02Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele86.2%#93/490—source ↗
03Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage56.0%#93/491—source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in80.3%#95/490—source ↗
05Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk62.0%#98/489—source ↗
06Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book87.6%#128/489—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd29.4%#151/490—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc73.2%#159/490—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 Mistral-Nemo-Instruct-2407-PL-finetuned actually performs.

Natural Language Processing
1
benchmark
avg rank #108.3
§ 04 · Related models

Other Remek models scored on Codesota.

Kruk-7B-SP-001
0 results
Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT
0 results
Meta-Llama-3.1-8B-Instruct-PL-finetuned
0 results
OpenChat3.5-0106-Spichlerz-Bocian
0 results
OpenChat3.5-0106-Spichlerz-Inst-001
0 results
🚧OpenChat-3.5-0106-PL-Omnibusv2
0 results
§ 05 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
8
results
8 of 8 rows marked verified.