Commit Graph
4 Commits
Author SHA1 Message Date
Frank d72092b2c7 docs: record dual-f16 KV refit on frank-default-small (2026-08-14) 2026-08-14 12:59:10 -07:00
Frank 9d7643ec5d frank-default-small: ncmoe 35->36 for prefill stability
Fix a live crash: cuBLAS cudaErrorInvalidValue in ggml_cuda_mul_mat_cublas
killed the service during a 145k-token prefill burst at ncmoe35/ub3072.

ncmoe 36 moves one more expert layer to CPU: frees ~0.75 GiB peak VRAM
(grid: peak 8606 vs 9360 MiB at ub3072) for -2% prefill / -2% decode.
Keeps prefill priority (top ubatch tier). Docs synced; noted fallback
GGML_CUDA_FORCE_MMQ=1 if pressure persists.
2026-08-14 10:56:40 -07:00
Frank 01eb957f90 frank-default-small: prefill-max ncmoe 35 / ubatch 3072
Prefill is the priority for this workload. Switch from decode-max
(ncmoe 32 / ubatch 1024) to prefill-max:
- n-cpu-moe 35, ubatch 3072: prefill ~1458 t/s (top tier), gen ~45.4 t/s,
  ~1.2 GiB headroom at the 800k pool.
- Gen is independent of ubatch; ub 3072 reaches best prefill with no
  decode cost. Docs synced (benchmark Chosen State, deployment, specs).
2026-08-13 23:07:30 -07:00
Frank 3c2db64a78 frank-default-small: ncmoe 32 + ubatch 1024 from llama-bench sweep
Swept ncmoe(30..40) x ubatch(256..4096) on the RTX 3090 (Qwen3.6-35B-A3B
Q6_K_P, pp16384/tg512, fit-target 0). Key findings:
- Generation depends only on ncmoe: 40.9 (ncmoe40) .. 51.1 (ncmoe30);
  ubatch/batch do not affect decode at all.
- Prefill + graph VRAM scale with ubatch; logical batch is irrelevant.
- VRAM model (peak + 11.44GiB KV pool + 2.2GiB overhead) reproduces the
  historical OOMs: ncmoe32-ub2048 sums ~24.4GiB > 24.

Chosen state: ncmoe 32 (8 expert layers on GPU), batch 8192, ubatch 1024.
  gen ~48.7 t/s (+7% vs prior ncmoe 35), prefill ~766 t/s, ~1.0GiB headroom.
Alternates: ncmoe34-ub2048 (gen 46.4, pp 1221, 1.5GiB) for prefill-heavy;
  ncmoe32-ub768 (1.3GiB) if headroom matters most.
Docs: new frank-default-small-benchmark.md; synced deployment.md + specs.
2026-08-13 22:56:24 -07:00