Codesota · Models · Polka-Mistral-7B-SFTUnknown9 results · 1 benchmarks
Model card

Polka-Mistral-7B-SFT.

Unknownopen-source
§ 01 · Benchmarks

Every benchmark Polka-Mistral-7B-SFT has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish MT-BenchNatural Language Processing · Polish Conversation Qualitymath3.0%#40/50—source ↗
02Polish MT-BenchNatural Language Processing · Polish Conversation Qualitystem6.8%#40/50—source ↗
03Polish MT-BenchNatural Language Processing · Polish Conversation Qualitywriting5.3%#42/50—source ↗
04Polish MT-BenchNatural Language Processing · Polish Conversation Qualitypl-score4.4%#43/50—source ↗
05Polish MT-BenchNatural Language Processing · Polish Conversation Qualityextraction5.3%#43/50—source ↗
06Polish MT-BenchNatural Language Processing · Polish Conversation Qualityroleplay4.9%#43/50—source ↗
07Polish MT-BenchNatural Language Processing · Polish Conversation Qualityhumanities5.6%#44/50—source ↗
08Polish MT-BenchNatural Language Processing · Polish Conversation Qualitycoding3.0%#46/50—source ↗
09Polish MT-BenchNatural Language Processing · Polish Conversation Qualityreasoning2.5%#46/50—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.
§ 02 · Strengths by area

Where Polka-Mistral-7B-SFT actually performs.

Natural Language Processing
1
benchmark
avg rank #43.0
§ 04 · Related models

Other Unknown models scored on Codesota.

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EAST + VGG16
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SSTD
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TextBoxes++_MS
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness

Where these numbers come from.

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