Model card
Llama-3.2-1B-Instruct.
meta-llamaopen-source1.24B params
§ 01 · Benchmarks
Every benchmark Llama-3.2-1B-Instruct has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 3.1% | #76 | — | source ↗ |
| 02 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 2.3% | #84 | — | source ↗ |
| 03 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 1.9% | #87 | — | source ↗ |
| 04 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 0.5% | #88 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 1.7% | #89 | — | source ↗ |
| 06 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 17.8% | #97 | — | source ↗ |
| 07 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 13.8% | #235 | — | source ↗ |
| 08 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 60.9% | #420 | — | source ↗ |
| 09 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 15.9% | #423 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 38.8% | #436 | — | source ↗ |
| 11 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 24.3% | #444 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 10.6% | #461 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 48.4% | #475 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 28.8% | #481 | — | 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-3.2-1B-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.