Codesota · Models · meta-llama/Meta-Llama-3.1-8B-Instructmeta-llama16 results · 2 benchmarks
Model card

meta-llama/Meta-Llama-3.1-8B-Instruct.

meta-llamaopen-weights8.03B params
§ 02 · Benchmarks

Every benchmark meta-llama/Meta-Llama-3.1-8B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment4.0%#28/93—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.4%#56/93—source ↗
03CPTU-BenchNatural Language Processing · Polish Text Understandingaverage3.0%#60/93—source ↗
04CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions2.1%#62/93—source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology2.6%#75/93—source ↗
06Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book65.9%#100/337—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele83.6%#114/490—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage51.4%#124/491—source ↗
09Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc48.9%#126/490—source ↗
10Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk57.4%#127/489—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in78.0%#129/490—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench27.3%#157/299—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative45.1%#164/489—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book84.2%#220/489—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd25.7%#228/490—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc69.0%#239/490—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/Meta-Llama-3.1-8B-Instruct actually performs.

Natural Language Processing
2
benchmarks
avg rank #125.6
§ 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
16 of 16 rows marked verified.