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LocalAI/backend/cpp/llama-cpp
Ettore Di Giacinto faeb5b457c analysis: NVFP4 closes the decode gap too (547->619, ~93% of vLLM)
Measured npl=128 cold A/B: NVFP4 decode 619 vs Q4_K 547 (+13%), closing the gap to
vLLM (667) from ~22% to ~7%. NVFP4's FP4-MMA kernel is more bandwidth-efficient at
the thin n=128 decode shape than Q4_K int8-MMQ (which ran 2.1x above the floor), so
it IS the better int4 decode GEMM the diagnosis called for - no multi-day
Marlin-for-K-quants needed. With NVFP4, llama.cpp on GB10 is ahead on prefill
(1209 vs 800) and within ~7% on decode. Remaining 7% = optional FP4 kernel tuning.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-21 21:42:17 +00:00
..
2026-04-12 08:51:30 +02:00