Codesota · Models · PLLuM-12B-chatPLLuM16 results · 2 benchmarks
Model card

PLLuM-12B-chat.

PLLuMopen-source
§ 01 · Benchmarks

Every benchmark PLLuM-12B-chat has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish MT-BenchNatural Language Processing · Polish Conversation Qualitywriting8.0%#23/50source ↗
02Polish MT-BenchNatural Language Processing · Polish Conversation Qualityhumanities9.3%#24/50source ↗
03Polish MT-BenchNatural Language Processing · Polish Conversation Qualitystem8.0%#32/50source ↗
04Polish MT-BenchNatural Language Processing · Polish Conversation Qualityreasoning3.9%#35/50source ↗
05Polish MT-BenchNatural Language Processing · Polish Conversation Qualitypl-score5.8%#35/50source ↗
06Polish MT-BenchNatural Language Processing · Polish Conversation Qualityextraction6.5%#37/50source ↗
07Polish MT-BenchNatural Language Processing · Polish Conversation Qualityroleplay5.0%#42/50source ↗
08Polish MT-BenchNatural Language Processing · Polish Conversation Qualitycoding3.0%#43/50source ↗
09Polish MT-BenchNatural Language Processing · Polish Conversation Qualitymath2.6%#43/50source ↗
10PLCCNatural Language Processing · Polish Cultural Competencyart-and-entertainment48.0%#93/165source ↗
11PLCCNatural Language Processing · Polish Cultural Competencyculture-and-tradition49.0%#112/165source ↗
12PLCCNatural Language Processing · Polish Cultural Competencyhistory61.0%#117/165source ↗
13PLCCNatural Language Processing · Polish Cultural Competencyaverage47.0%#122/165source ↗
14PLCCNatural Language Processing · Polish Cultural Competencygeography54.0%#123/165source ↗
15PLCCNatural Language Processing · Polish Cultural Competencyvocabulary33.0%#143/165source ↗
16PLCCNatural Language Processing · Polish Cultural Competencygrammar37.0%#149/165source ↗
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 PLLuM-12B-chat actually performs.

Natural Language Processing
2
benchmarks
avg rank #73.3
§ 04 · Related models

Other PLLuM models scored on Codesota.

Llama-PLLuM-70B-chat
0 results
Llama-PLLuM-70B-chat-250801
0 results
Llama-PLLuM-8B-chat
0 results
PLLuM-12B-nc-chat
0 results
PLLuM-12B-nc-chat-250715
0 results
PLLuM-8x7B-chat
0 results
PLLuM-8x7B-nc-chat
0 results
§ 05 · Sources & freshness

Where these numbers come from.

SpeakLeash/MT-Bench-PL
9
results
sdadas/PLCC
7
results
16 of 16 rows marked verified.