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Speed up M=4 packed GEMV and multi-row lm_head for NEXTN - #1

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krisclarkdev merged 1 commit into
gptq-page-sizefrom
gptq-decode-speed
Oct 29, 2026
Merged

krisclarkdev merged 1 commit into
gptq-page-sizefrom
gptq-decode-speed

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Summary

Unprofiled llama-benchy on node hal, page 128, context 8192, graph batch 1, temperature 0:

mode pp512 tg128 peak
greedy, speculation off 434.78 23.35 24
NEXTN, steps 3, draft tokens 4 410.76 37.28 38

Test plan

Made with Cursor

Wide layers share four columns and long-K layers keep the two-column pipeline. Vocabulary rows stay in one pipelined pass, and Gated DeltaNet verify uses the SYCL ops the base wheel does not ship.

Co-authored-by: Cursor <cursoragent@cursor.com>
@krisclarkdev
krisclarkdev merged commit 41b8d63 into gptq-page-size Oct 29, 2026
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