Ettore Di Giacinto 9f16a907be docs(paged): Lever 3 profiled + Q4/MXFP4 findings, auto-ubatch shipped ...

Prefill doesn't scale with bigger single prompts (attention O(N^2)); real gap
is batched MoE prefill (B=32: 27x vs vLLM, ~22 effective TFLOP/s). nsys pins
Lever 3 target: mul_mat_q<MXFP4> MoE GEMM 37% + un-fused act-quant 8%; native
FP4 MMA already engaged, inefficiency is the per-expert thin-tile scheduler.
Q4_K_M matches MXFP4 on decode (decode win is generic 4-bit); MXFP4's only edge
is prefill. Auto-ubatch=2048 on Blackwell shipped (PR #10411).

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

2026-06-19 20:56:46 +00:00

..

ds4

chore: ⬆️ Update antirez/ds4 to 80ebbc396aee40eedc1d829222f3362d10fa4c6c (#10378)

2026-06-18 00:32:13 +02:00

grpc

fix: speedup git submodule update with --single-branch (#2847)

2024-07-13 22:32:25 +02:00

ik-llama-cpp

chore: ⬆️ Update ikawrakow/ik_llama.cpp to b3dfb7858cfcb9166e92f366e5af87f19ebc94be (#10395)

2026-06-19 00:03:37 +02:00

llama-cpp

docs(paged): Lever 3 profiled + Q4/MXFP4 findings, auto-ubatch shipped

2026-06-19 20:56:46 +00:00

privacy-filter

feat(pii): NER tier engine — privacy-filter.cpp backend + NER-centric PII filter (#10360)

2026-06-18 11:45:22 +01:00

turboquant

chore(turboquant): bump to 7d9715f1 + fix compilation against rebased fork (#10205)

2026-06-07 10:42:06 +02:00