Codesota · Models · SmolLM2-1.7B-InstructUnknown9 results · 1 benchmarks
Model card

SmolLM2-1.7B-Instruct.

Unknownopen-source
§ 01 · Benchmarks

Every benchmark SmolLM2-1.7B-Instruct has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish MT-BenchNatural Language Processing · Polish Conversation Qualityhumanities1.9%#48/50—source ↗
02Polish MT-BenchNatural Language Processing · Polish Conversation Qualitymath1.8%#48/50—source ↗
03Polish MT-BenchNatural Language Processing · Polish Conversation Qualitycoding1.8%#48/50—source ↗
04Polish MT-BenchNatural Language Processing · Polish Conversation Qualityextraction2.8%#48/50—source ↗
05Polish MT-BenchNatural Language Processing · Polish Conversation Qualitystem1.4%#49/50—source ↗
06Polish MT-BenchNatural Language Processing · Polish Conversation Qualitywriting1.1%#50/50—source ↗
07Polish MT-BenchNatural Language Processing · Polish Conversation Qualitypl-score1.6%#50/50—source ↗
08Polish MT-BenchNatural Language Processing · Polish Conversation Qualityreasoning1.1%#50/50—source ↗
09Polish MT-BenchNatural Language Processing · Polish Conversation Qualityroleplay1.0%#50/50—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 SmolLM2-1.7B-Instruct actually performs.

Natural Language Processing
1
benchmark
avg rank #49.0
§ 04 · Related models

Other Unknown models scored on Codesota.

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§ 05 · Sources & freshness

Where these numbers come from.

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