Ettore Di Giacinto 1887385b79 analysis: MXFP4-dense fails quality check (~27% worse PPL than Q4_K) - do not recommend ...

Clean fair comparison (Qwen3-4B, all from same BF16 source, wikitext PPL): BF16
13.32, Q4_K_M 13.66 (+2.6%, near-lossless), MXFP4 17.42 (+30.8%). MXFP4 is ~27%
worse than Q4_K even clean from BF16 (32B double-quant cross-check: 7.39 vs 8.46,
+14.6%, same direction). MXFP4_MOE is built for MoE expert tensors; on dense
attn/ffn it is far lossier than Q4_K's 6-bit superblock structure. The ~1.58x
prefill is not worth ~27% PPL - Q4_K stays the dense default; FP4 only where the
model is trained for it (MoE). Verdict: do NOT ship a Blackwell MXFP4-dense rec.

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

2026-06-21 17:24:24 +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

analysis: MXFP4-dense fails quality check (~27% worse PPL than Q4_K) - do not recommend

2026-06-21 17:24:24 +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