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A · 2026-10-01

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Devstral Small 2 24B

24B dense, Q4_K_M, 19.0 GB.

Parameters
24B
Quant
Q4_K_M
Size
19.0 GB
Family
devstral
RecordStatus · runtime · seat

devstral-small-2-24b-b10618

Measured, not seateddenseresidentllama.cpp

Model card ↗

Outcome as of 20 September 2026, from the seat registry. The write-up below was made when the model was tested.

Why it was tested

A coding model, tested to see whether coding tuning transfers to structured extraction.

What came of it

The strongest coder on the extraction suites: 100% screening, 79.2% grounding, 62.5% nullschema. Worth noting that none of those suites measure code, which is the category error that made every coding model look mediocre.

Recorded runs3 scored · 95% intervals
SuiteScore95% interval PassedRuntime · profileRecorded
grounding79.2%71.3–85.4Passed 99/125llama.cppextraction2026-08-25
nullschema62.5%51.0–72.8Passed 45/72llama.cppextraction2026-08-25
screening100.0%94.0–100.0Passed 60/60llama.cppextraction2026-08-25

Runs marked unenforced were measured through mlx_lm on a suite that requires constrained decoding. mlx_lm accepts the schema and ignores it, so those numbers do not measure what the suite is designed to measure. They are kept and labelled rather than deleted.

Every run log entry for this model (3)
FinishedSuiteRuntime · profileScoreCoverageGrader · dataset · config
nullschemanullschema/1llama.cppextraction62.5%Coverage 72/72g d7448e0f5fc3f9afd 3b91280bb40372efc 836a74186efb247a
screeningscreening/1llama.cppextraction100.0%Coverage 60/60g 0661b49a10be2d2ad 64c97ca2269c29afc d8a2ef703d82163d
groundinggrounding/1llama.cppextraction79.2%Coverage 125/125g 30b933dcc6a7e2d4d dcb396faf8b83b0ac ed588aa2abdb41ef