Codesota · Models · meta-llama/Llama-3.2-1B-Instructmeta-llama17 results · 3 benchmarks
Model card

meta-llama/Llama-3.2-1B-Instruct.

meta-llamaopen-weights1.24B params
§ 02 · Benchmarks

Every benchmark meta-llama/Llama-3.2-1B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment3.1%#76/93—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology2.3%#84/93—source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandingaverage1.9%#87/93—source ↗
04CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions0.5%#88/93—source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding1.7%#89/93—source ↗
06Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score17.8%#97/101—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench13.8%#235/299—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book36.1%#319/337—source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative33.4%#410/489—source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in60.9%#420/490—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd15.9%#423/490—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele38.8%#436/490—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc24.1%#440/490—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk24.3%#444/489—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage10.6%#461/491—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book48.4%#475/489—source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc28.8%#481/490—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.
§ 03 · Strengths by area

Where meta-llama/Llama-3.2-1B-Instruct actually performs.

Natural Language Processing
3
benchmarks
avg rank #297.9
§ 05 · Related models

Other meta-llama models scored on Codesota.

meta-llama/Llama-3.3-70B-Instruct
70.6B params · 1 result
Llama-2-7b-chat-hf
0 results
Llama-2-7b-hf
0 results
Llama-3.2-1B
0 results
Llama-3.2-3B
0 results
Llama-4-Scout-17B-16E
0 results
Meta-Llama-3-70B
0 results
Meta-Llama-3-8B
0 results
§ 06 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
17 of 17 rows marked verified.