Codesota · Models · meta-llama/Meta-Llama-3-70B-Instructmeta-llama17 results · 3 benchmarks
Model card

meta-llama/Meta-Llama-3-70B-Instruct.

meta-llamaopen-weights70.6B params
§ 02 · Benchmarks

Every benchmark meta-llama/Meta-Llama-3-70B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish EQ-BenchNatural Language Processing · Polish Emotional Intelligenceeq-score71.2%#13/101—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions3.7%#18/93—source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment4.1%#19/93—source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc79.9%#19/490—source ↗
05Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele91.1%#21/490—source ↗
06CPTU-BenchNatural Language Processing · Polish Text Understandingaverage3.8%#22/93—source ↗
07CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.8%#31/93—source ↗
08CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology3.5%#33/93—source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench61.0%#33/299—source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk69.0%#37/489—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in84.3%#53/490—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage59.4%#78/491—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative54.4%#78/489—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc47.4%#142/490—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book61.3%#161/337—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd28.7%#161/490—source ↗
17Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book67.2%#429/489—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/Meta-Llama-3-70B-Instruct actually performs.

Natural Language Processing
3
benchmarks
avg rank #79.3
§ 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.