Codesota · Models · Meta-Llama-3.1-8B-InstructMeta9 results · 1 benchmarks
Model card

Meta-Llama-3.1-8B-Instruct.

Metaopen-source
§ 02 · Benchmarks

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

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish MT-BenchNatural Language Processing · Polish Conversation Qualityextraction9.1%#19/50—source ↗
02Polish MT-BenchNatural Language Processing · Polish Conversation Qualitymath5.3%#25/50—source ↗
03Polish MT-BenchNatural Language Processing · Polish Conversation Qualitywriting7.7%#28/50—source ↗
04Polish MT-BenchNatural Language Processing · Polish Conversation Qualityhumanities8.8%#29/50—source ↗
05Polish MT-BenchNatural Language Processing · Polish Conversation Qualitycoding4.6%#30/50—source ↗
06Polish MT-BenchNatural Language Processing · Polish Conversation Qualitypl-score6.2%#31/50—source ↗
07Polish MT-BenchNatural Language Processing · Polish Conversation Qualityroleplay5.6%#40/50—source ↗
08Polish MT-BenchNatural Language Processing · Polish Conversation Qualitystem6.3%#43/50—source ↗
09Polish MT-BenchNatural Language Processing · Polish Conversation Qualityreasoning2.5%#45/50—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-3.1-8B-Instruct actually performs.

Natural Language Processing
1
benchmark
avg rank #32.2
§ 05 · Related models

Other Meta models scored on Codesota.

Llama 4 Maverick
400B total / 17B active (128 experts) params · 15 results
Llama 3.1 405B
13 results
Llama 3 70B
11 results
Llama 3 (405B, Instruct)
9 results
Llama-3.2-1B-Instruct
9 results
Llama-3.2-3B-Instruct
9 results
Llama-4-Scout
109B total / 17B active (16 experts) params · 9 results
Meta-Llama-3.1-405B-Instruct
9 results
§ 06 · Sources & freshness

Where these numbers come from.

SpeakLeash/MT-Bench-PL
9
results
9 of 9 rows marked verified.