Model card
Mistral-Nemo-Instruct-2407.
mistralaiopen-source12.2B params
§ 01 · Benchmarks
Every benchmark Mistral-Nemo-Instruct-2407 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 61.8% | #30 | — | source ↗ |
| 02 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 3.6% | #54 | — | source ↗ |
| 03 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 3.3% | #59 | — | source ↗ |
| 04 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 2.1% | #63 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 2.9% | #66 | — | source ↗ |
| 06 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 2.7% | #72 | — | source ↗ |
| 07 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 45.2% | #85 | — | source ↗ |
| 08 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 86.6% | #89 | — | source ↗ |
| 09 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 55.3% | #98 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 61.7% | #101 | — | source ↗ |
| 11 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 78.8% | #115 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 87.5% | #131 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 73.3% | #156 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 28.4% | #171 | — | 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 actually performs.
§ 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-7B-v0.3
0 results
Mistral-Large-Instruct-2407
123B params · 0 results
Mistral-Large-Instruct-2411
123B params · 0 results
Mistral-Nemo-Base-2407
0 results
§ 05 · Sources & freshness
Where these numbers come from.
speakleash/open_pl_llm_leaderboard
8
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
14 of 14 rows marked verified.