Model card
Llama-3.2-3B-Instruct.
meta-llamaopen-source3.21B params
§ 01 · Benchmarks
Every benchmark Llama-3.2-3B-Instruct 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 | 46.2% | #66 | — | source ↗ |
| 02 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 1.2% | #79 | — | source ↗ |
| 03 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 2.3% | #84 | — | source ↗ |
| 04 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 2.0% | #85 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 2.8% | #85 | — | source ↗ |
| 06 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 1.7% | #93 | — | source ↗ |
| 07 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 31.4% | #138 | — | source ↗ |
| 08 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 46.7% | #237 | — | source ↗ |
| 09 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 36.3% | #259 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 68.6% | #292 | — | source ↗ |
| 11 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 69.8% | #319 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 19.4% | #341 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 74.7% | #365 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 49.6% | #405 | — | 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 Llama-3.2-3B-Instruct actually performs.
§ 04 · Related models
Other meta-llama models scored on Codesota.
§ 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.