FreshContextA context lab · Fife
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02 · Benchmarks
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Rev
A · 2026-10-01

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Qwen3.8-27B GSQ-RCO IQ3_S (ISTA-DASLab)

27B dense, IQ3_S (per-tensor gradient search), 11.3 GB.

Parameters
27B
Quant
IQ3_S (per-tensor gradient search)
Size
11.3 GB
Family
qwen3.8
RecordStatus · runtime · seat

qwen38-27b-gsq-rco-iq3s

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

Same weights as qwen3.8-27b at ~3 bits instead of ~4.5, with the quantisation type chosen per tensor by gradient search under a size budget. Retains the MTP head. 26% fewer bytes per token and 8% faster.

What came of it

Lossless on four suites and not on the fifth. 202 of 212 cases identical to Q4_K_M; all ten changes in nullschema (76.4% to 62.5%). The vendor's task-lossless claim (AIME25 100.00, LiveCodeBench 85.71, GPQA within 0.51) appears honest - none of those benchmarks contains an absent-answer case. Use Q4_K_M for extraction; IQ3_S is fine for anything else.

Recorded runs0 scored · 95% intervals

No runs recorded against this identifier.