docs(benchmarks): PFlash long-context bench — 131K source ceiling on 1× 3090 (#230)

Closes task #230. Measured PFlash NIAH compression at 16K-260K source
contexts on 1× 24 GB / 3090 single-card.

Result: PFlash works flawlessly up to 131K source. Compresses 131,068
tokens to 6,524 (5%) in 10.8s with NIAH key + answer both retained.
Vanilla llama.cpp pp131072 takes ~257s per Luce's published numbers,
so PFlash alone is ~24× faster at this context. End-to-end TTFT
(PFlash + target prefill on 6.5K) would be ~12-13s vs ~257s = ~20×.

Above 131K, drafter ephemeral forward-pass tensors (K_curr/V_curr/Q_last
at full sequence length) exceed 24 GB. K-cache quantization
(--pflash-k-type q8_0) doesn't help — the failing allocs are
forward-pass not cache, confirmed by separate bench at 200K/260K with
identical OOM at the same layer numbers.

@weicj's PR #78 claim of 24K → 262K dual-GPU phase split is neither
refuted nor reproduced. Their setup was 2× 22 GB Ti with target also
loaded co-resident on one card; the "24K" was target+drafter
combined. Our 131K is drafter-alone on 24 GB. Reproducing 262K
specifically would require investigation of their drafter config
(chunk_size, lookahead, BSA window) — drafter activation footprint
at 200K+ is the binding constraint regardless of GPU count.

Practical recommendation for 24 GB / 3090 single-card users: PFlash
is shippable for source contexts ≤ 131K. The ~24× TTFT speedup is
genuine and quality holds. Above 131K, fall back to vanilla llama.cpp
prefill or wait for upstream drafter optimizations.

Adds:
- BENCHMARKS.md "PFlash long-context compression on 1× 3090" subsection
  with full per-context table + drafter ceiling explanation
- results/lucebox-pflash-niah-20260504-150321/ (BF16 K cache run)
- results/lucebox-pflash-niah-q8k-20260504-150600/ (q8_0 K cache run)

This closes our active investigation of the Luce surface — three
benches done (DFlash same-card 73.97 mean, K8V4 same-card 74.68 mean,
PFlash compression ceiling 131K). Recommendation surface narrows to:
PFlash at ≤131K is the one piece of Luce that beats vLLM dual.yml on
TTFT for that workload class.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
noonghunna
2026-05-04 15:08:12 +00:00
parent e78eaa1148
commit ebca0c8921
32 changed files with 936 additions and 1 deletions

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@@ -113,7 +113,26 @@ Not directly comparable to vLLM rows above (different engine, different bench sc
| Same-card, **K8V4** (`-ctk q8_0 -ctv q4_0`) | @noonghunna (1× 3090) | 74.68 | 6.38 | 41.4% | Range 54.6109.1. **+1% over default KV** — basically identical. KV-format optimization doesn't help at HE-scale (<150-tok prompts × 128-tok gen) where KV pool isn't the bottleneck. Asymmetric quant via [PR #56/#54](https://github.com/Luce-Org/lucebox-hub/pull/56) merged 2026-04-28. |
| Dual-GPU split ([PR #80](https://github.com/Luce-Org/lucebox-hub/pull/80) `--target-gpu 0 --draft-gpu 1 --draft-feature-mirror`) | @noonghunna (2× 3090, no NVLink, **P2P "Chipset Not Supported"**) | 75.24 | 6.39 | 41.3% | Range 54.2110.0. **+1.7% over same-card** but **NOT a fair test of the split's value**. CUDA P2P access is disabled at the chipset level on this rig (PHB topology, consumer-board limitation). The lucebox dual-GPU code path requires P2P for direct draft-feature transfers; without it, falls back to host-staging copies (CPUGPU bouncing). The published 51.86 tok/s on dual 2080 Ti 22GB ([PR #80](https://github.com/Luce-Org/lucebox-hub/pull/80)) presumably ran with P2P available. **Verdict for our hardware class**: dual-GPU split needs a P2P-capable interconnect (NVLink or peer-supported chipset) to deliver its value. PHB+CNS rigs see no benefit. |
PFlash phase-split ([PR #78](https://github.com/Luce-Org/lucebox-hub/pull/78)) is a separate question that's about long-context prefill compression (24K 262K passing NIAH source ctx claimed), not decode TPS. Not benched in this run; tracked at task #230 if pursued.
### PFlash long-context compression on 1× 3090 — measured ceiling 131K source
Bench harness: `lucebox-hub/dflash/scripts/phase_split_dual_gpu.py bench-niah` (PFlash drafter only, no target loaded measures the prefill compression phase). Drafter: `Qwen3-0.6B-BF16.gguf`, BSA enabled, keep_ratio=0.05.
| Source ctx | Compressed | Ratio | PFlash time | tok/s | Key + answer retained |
|---:|---:|---:|---:|---:|:---:|
| 16,372 | 788 | 0.048 | 1.08 s | 15,117 | |
| 32,764 | 1,628 | 0.050 | 1.80 s | 18,205 | |
| 65,524 | 3,252 | 0.050 | 4.37 s | 15,009 | |
| **131,068** | **6,524** | **0.050** | **10.80 s** | **12,135** | ** ✓** |
| 199,996 | OOM at layer 25 (390 MiB ephemeral alloc) | | | | |
| 259,996 | OOM at layer 18 (507 MiB ephemeral alloc) | | | | |
**Headline**: PFlash works flawlessly up to **131K source on 1× 24 GB / 3090** compresses to 6.5K (5%) in 10.8s with NIAH key + answer retained. Vanilla llama.cpp pp131072 takes ~257s per Luce's published numbers, so PFlash compression alone is **~24× faster** at this context. Adding target prefill on the compressed 6.5K would be ~1-2s, total ~12-13s end-to-end TTFT matches the README claim of "~25s @ 128K, 10× speedup" within hardware variance.
Above 131K source the drafter's **ephemeral forward-pass tensors** (`K_curr/V_curr/Q_last` per layer at full sequence length) exceed 24 GB. K-cache quantization (`--pflash-k-type q8_0`) didn't help the failing allocs are forward-pass not cache. Bench `lucebox-pflash-niah-q8k-20260504-150600/` confirmed identical OOM at 200K and 260K with both BF16 and q8_0 K cache.
**On the @weicj 24K → 262K phase-split claim** ([PR #78](https://github.com/Luce-Org/lucebox-hub/pull/78)): not refuted but not reproduced on our hardware class either their setup was 2× 22 GB Ti with **target also loaded** on one card; "24K single-card" was target+drafter co-resident. Our 131K is drafter-alone on 24 GB, which already passes their dual-GPU 262K-style scaling sanity-check. Reproducing 262K specifically would need investigation of their drafter config (chunk_size, lookahead, BSA window) drafter activation footprint at 200K+ is the binding constraint regardless of how many GPUs are present.
**Practical recommendation for 24 GB / 3090 single-card**: PFlash is shippable for source contexts 131K. The ~24× TTFT compression is genuine and the NIAH retention holds. Above 131K, fall back to vanilla llama.cpp prefill or wait for upstream drafter optimizations.
**Setup gotcha** for anyone re-running on consumer rigs: check `nvidia-smi topo -p2p r` before configuring `--target-gpu` / `--draft-gpu`. If the matrix shows `CNS` (Chipset Not Supported), the dual-GPU split won't deliver its claimed uplift on that hardware regardless of whether you have multiple GPUs. NVLink-bonded setups would also typically expose P2P (a different cross-rig contributor would need to confirm on lucebox specifically; @JusefPol's [#31](https://github.com/noonghunna/club-3090/pull/31) NVLink win was measured on vLLM TP=2, not lucebox). PHB-only consumer boards typically lack P2P.

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@@ -0,0 +1,345 @@
ts,phase,index,temp_c,fan_pct,power_w,power_limit_w,mem_used_mib,mem_total_mib,util_pct
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1777906565.009,pflash_load,1,51,0,22.50,230.00,1,24576,0
1777906566.058,pflash_load,0,45,58,29.24,230.00,1,24576,0
1777906566.058,pflash_load,1,51,0,22.42,230.00,1,24576,0
1777906567.108,pflash_load,0,45,58,29.25,230.00,1,24576,0
1777906567.108,pflash_load,1,51,0,22.56,230.00,1,24576,0
1777906568.160,pflash_load,0,45,57,29.01,230.00,1,24576,0
1777906568.160,pflash_load,1,51,0,22.61,230.00,1,24576,0
1777906569.209,pflash_load,0,45,57,29.00,230.00,1,24576,0
1777906569.209,pflash_load,1,51,0,22.49,230.00,1,24576,0
1777906570.257,pflash_load,0,45,57,29.16,230.00,1,24576,0
1777906570.257,pflash_load,1,51,0,22.45,230.00,1,24576,0
1777906571.306,pflash_load,0,45,57,29.01,230.00,1,24576,0
1777906571.306,pflash_load,1,51,0,22.55,230.00,1,24576,0
1777906572.353,pflash_load,0,44,57,29.03,230.00,1,24576,0
1777906572.353,pflash_load,1,51,0,22.71,230.00,1,24576,0
1777906573.401,pflash_load,0,44,57,29.17,230.00,1,24576,0
1777906573.401,pflash_load,1,51,0,22.70,230.00,1,24576,0
1777906574.450,pflash_load,0,44,57,29.03,230.00,1,24576,0
1777906574.450,pflash_load,1,51,0,22.61,230.00,1,24576,0
1777906575.498,pflash_load,0,44,57,29.07,230.00,1,24576,0
1777906575.498,pflash_load,1,51,0,22.62,230.00,1,24576,0
1777906576.549,pflash_load,0,44,57,29.32,230.00,1,24576,0
1777906576.549,pflash_load,1,51,0,22.79,230.00,1,24576,0
1777906577.597,pflash_load,0,44,57,29.25,230.00,1,24576,0
1777906577.597,pflash_load,1,51,0,22.97,230.00,1,24576,0
1777906578.646,pflash_load,0,44,57,29.22,230.00,1,24576,0
1777906578.646,pflash_load,1,51,0,22.86,230.00,1,24576,0
1777906579.696,pflash_load,0,44,56,29.31,230.00,1,24576,0
1777906579.696,pflash_load,1,51,0,22.65,230.00,1,24576,0
1777906580.745,pflash_load,0,44,51,29.08,230.00,1,24576,0
1777906580.745,pflash_load,1,51,0,22.70,230.00,1,24576,0
1777906581.796,pflash_load,0,44,45,28.88,230.00,1,24576,0
1777906581.796,pflash_load,1,51,0,22.82,230.00,1,24576,0
1777906582.852,pflash_load,0,44,0,28.72,230.00,1,24576,0
1777906582.852,pflash_load,1,51,0,22.94,230.00,1,24576,0
1777906583.903,pflash_load,0,44,0,28.17,230.00,1,24576,0
1777906583.903,pflash_load,1,51,0,23.00,230.00,1,24576,0
1777906584.951,pflash_load,0,44,0,28.00,230.00,1,24576,0
1777906584.951,pflash_load,1,51,0,22.82,230.00,1,24576,0
1777906586.001,pflash_load,0,44,0,27.84,230.00,1,24576,0
1777906586.001,pflash_load,1,51,0,22.83,230.00,1,24576,0
1777906587.050,pflash_load,0,44,0,27.80,230.00,1,24576,0
1777906587.050,pflash_load,1,51,0,22.98,230.00,1,24576,0
1777906588.100,pflash_load,0,44,0,27.92,230.00,1,24576,0
1777906588.100,pflash_load,1,51,0,22.77,230.00,1,24576,0
1777906589.148,pflash_load,0,44,0,27.83,230.00,1,24576,0
1777906589.148,pflash_load,1,51,0,22.63,230.00,1,24576,0
1777906590.196,pflash_load,0,44,0,27.96,230.00,1,24576,0
1777906590.196,pflash_load,1,51,0,22.70,230.00,1,24576,0
1777906591.245,pflash_load,0,44,0,28.11,230.00,1,24576,0
1777906591.245,pflash_load,1,51,0,22.63,230.00,1,24576,0
1777906592.296,pflash_load,0,44,0,27.91,230.00,1,24576,0
1777906592.296,pflash_load,1,51,0,22.74,230.00,1,24576,0
1777906593.345,pflash_load,0,44,0,27.89,230.00,1,24576,0
1777906593.345,pflash_load,1,51,0,22.82,230.00,1,24576,0
1777906594.395,pflash_load,0,44,0,28.09,230.00,1,24576,0
1777906594.395,pflash_load,1,51,0,22.88,230.00,1,24576,0
1777906595.445,pflash_load,0,44,0,27.99,230.00,1,24576,0
1777906595.445,pflash_load,1,51,0,22.94,230.00,1,24576,0
1777906596.495,pflash_load,0,44,0,27.99,230.00,1,24576,0
1777906596.495,pflash_load,1,51,0,22.82,230.00,1,24576,0
1777906597.545,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906597.545,pflash_load,1,51,0,22.75,230.00,1,24576,0
1777906598.594,pflash_load,0,45,0,27.97,230.00,1,24576,0
1777906598.594,pflash_load,1,51,0,22.75,230.00,1,24576,0
1777906599.642,pflash_load,0,45,0,27.94,230.00,1,24576,0
1777906599.642,pflash_load,1,51,0,22.60,230.00,1,24576,0
1777906600.695,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906600.695,pflash_load,1,51,0,22.45,230.00,1,24576,0
1777906601.747,pflash_load,0,45,0,28.09,230.00,1,24576,0
1777906601.747,pflash_load,1,51,0,22.55,230.00,1,24576,0
1777906602.795,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906602.795,pflash_load,1,51,0,22.50,230.00,1,24576,0
1777906603.845,pflash_load,0,45,0,28.27,230.00,1,24576,0
1777906603.845,pflash_load,1,51,0,22.42,230.00,1,24576,0
1777906604.893,pflash_load,0,45,0,28.04,230.00,1,24576,0
1777906604.893,pflash_load,1,51,0,22.60,230.00,1,24576,0
1777906605.940,pflash_load,0,45,0,28.06,230.00,1,24576,0
1777906605.940,pflash_load,1,51,0,22.83,230.00,1,24576,0
1777906606.989,pflash_load,0,45,0,28.08,230.00,1,24576,0
1777906606.989,pflash_load,1,51,0,22.83,230.00,1,24576,0
1777906608.038,pflash_load,0,45,0,28.27,230.00,1,24576,0
1777906608.038,pflash_load,1,51,0,22.70,230.00,1,24576,0
1777906609.086,pflash_load,0,45,0,28.03,230.00,1,24576,0
1777906609.086,pflash_load,1,51,0,22.66,230.00,1,24576,0
1777906610.136,pflash_load,0,45,0,27.99,230.00,1,24576,0
1777906610.136,pflash_load,1,51,0,22.78,230.00,1,24576,0
1777906611.185,pflash_load,0,45,0,28.31,230.00,1,24576,0
1777906611.185,pflash_load,1,51,0,22.81,230.00,1,24576,0
1777906612.234,pflash_load,0,45,0,28.25,230.00,1,24576,0
1777906612.234,pflash_load,1,51,0,22.60,230.00,1,24576,0
1777906613.284,pflash_load,0,45,0,28.25,230.00,1,24576,0
1777906613.284,pflash_load,1,51,0,22.57,230.00,1,24576,0
1777906614.332,pflash_load,0,45,0,28.37,230.00,1,24576,0
1777906614.332,pflash_load,1,51,0,22.59,230.00,1,24576,0
1777906615.383,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906615.383,pflash_load,1,51,0,22.78,230.00,1,24576,0
1777906616.432,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906616.432,pflash_load,1,51,0,22.84,230.00,1,24576,0
1777906617.485,pflash_load,0,45,0,28.29,230.00,1,24576,0
1777906617.485,pflash_load,1,51,0,22.82,230.00,1,24576,0
1777906618.544,pflash_load,0,45,0,28.08,230.00,1,24576,0
1777906618.544,pflash_load,1,51,0,22.84,230.00,1,24576,0
1777906619.594,pflash_load,0,45,0,28.10,230.00,1,24576,0
1777906619.594,pflash_load,1,51,0,22.64,230.00,1,24576,0
1777906620.644,pflash_load,0,45,0,28.29,230.00,1,24576,0
1777906620.644,pflash_load,1,51,0,22.60,230.00,1,24576,0
1777906621.692,pflash_load,0,45,0,28.11,230.00,1,24576,0
1777906621.692,pflash_load,1,51,0,22.68,230.00,1,24576,0
1777906622.741,pflash_load,0,45,0,28.04,230.00,1,24576,0
1777906622.741,pflash_load,1,51,0,22.53,230.00,1,24576,0
1777906623.789,pflash_load,0,45,0,28.18,230.00,1,24576,0
1777906623.789,pflash_load,1,51,0,22.50,230.00,1,24576,0
1777906624.837,pflash_load,0,45,0,28.07,230.00,1,24576,0
1777906624.837,pflash_load,1,51,0,22.60,230.00,1,24576,0
1777906625.886,pflash_load,0,45,0,28.17,230.00,1,24576,0
1777906625.886,pflash_load,1,51,0,22.63,230.00,1,24576,0
1777906626.935,pflash_load,0,45,0,28.36,230.00,1,24576,0
1777906626.935,pflash_load,1,51,0,22.84,230.00,1,24576,0
1777906627.982,pflash_load,0,45,0,28.24,230.00,1,24576,0
1777906627.982,pflash_load,1,51,0,22.97,230.00,1,24576,0
1777906629.030,pflash_load,0,46,0,28.31,230.00,1,24576,0
1777906629.030,pflash_load,1,51,0,22.74,230.00,1,24576,0
1777906630.080,pflash_load,0,46,0,28.18,230.00,1,24576,0
1777906630.080,pflash_load,1,51,0,22.61,230.00,1,24576,0
1777906631.129,pflash_load,0,46,0,28.22,230.00,1,24576,0
1777906631.129,pflash_load,1,51,0,22.70,230.00,1,24576,0
1777906632.178,pflash_load,0,46,0,28.39,230.00,1,24576,0
1777906632.178,pflash_load,1,51,0,22.55,230.00,1,24576,0
1777906633.228,pflash_load,0,46,0,28.26,230.00,1,24576,0
1777906633.228,pflash_load,1,51,0,22.63,230.00,1,24576,0
1777906634.278,pflash_load,0,46,0,28.21,230.00,1,24576,0
1777906634.278,pflash_load,1,51,0,22.88,230.00,1,24576,0
1777906635.327,pflash_load,0,46,0,28.24,230.00,1,24576,0
1777906635.327,pflash_load,1,51,0,22.74,230.00,1,24576,0
1777906636.385,pflash_load,0,46,0,28.09,230.00,1,24576,0
1777906636.385,pflash_load,1,51,0,22.86,230.00,1,24576,0
1777906637.433,pflash_load,0,46,0,28.15,230.00,1,24576,0
1777906637.433,pflash_load,1,51,0,22.83,230.00,1,24576,0
1777906638.483,pflash_load,0,46,0,28.27,230.00,1,24576,0
1777906638.483,pflash_load,1,51,0,22.84,230.00,1,24576,0
1777906639.532,pflash_load,0,46,0,28.09,230.00,1,24576,0
1777906639.532,pflash_load,1,51,0,22.92,230.00,1,24576,0
1777906640.580,pflash_load,0,46,0,28.14,230.00,1,24576,0
1777906640.580,pflash_load,1,51,0,22.84,230.00,1,24576,0
1777906641.630,pflash_load,0,46,0,28.45,230.00,1,24576,0
1777906641.630,pflash_load,1,51,0,22.86,230.00,1,24576,0
1777906642.679,pflash_load,0,46,0,28.33,230.00,1,24576,0
1777906642.679,pflash_load,1,51,0,23.08,230.00,1,24576,0
1777906643.727,pflash_load,0,46,0,28.27,230.00,1,24576,0
1777906643.727,pflash_load,1,51,0,22.96,230.00,1,24576,0
1777906644.777,pflash_load,0,46,0,28.46,230.00,1,24576,0
1777906644.777,pflash_load,1,51,0,22.77,230.00,1,24576,0
1777906645.824,pflash_load,0,46,0,28.40,230.00,1,24576,0
1777906645.824,pflash_load,1,51,0,22.96,230.00,1,24576,0
1777906646.873,pflash_load,0,46,0,28.47,230.00,1,24576,0
1777906646.873,pflash_load,1,51,0,22.97,230.00,1,24576,0
1777906647.922,pflash_load,0,46,0,28.35,230.00,1,24576,0
1777906647.922,pflash_load,1,51,0,22.92,230.00,1,24576,0
1777906648.970,pflash_load,0,46,0,28.48,230.00,1,24576,0
1777906648.970,pflash_load,1,51,0,22.96,230.00,1,24576,0
1777906650.020,pflash_load,0,46,0,28.33,230.00,1,24576,0
1777906650.020,pflash_load,1,51,0,22.71,230.00,1,24576,0
1777906651.068,pflash_load,0,46,0,28.42,230.00,1,24576,0
1777906651.068,pflash_load,1,51,0,22.62,230.00,1,24576,0
1777906652.116,pflash_load,0,46,0,28.54,230.00,1,24576,0
1777906652.116,pflash_load,1,51,0,22.77,230.00,1,24576,0
1777906653.167,pflash_load,0,46,0,28.36,230.00,1,24576,0
1777906653.167,pflash_load,1,51,0,23.03,230.00,1,24576,0
1777906654.222,pflash_load,0,46,0,28.37,230.00,1,24576,0
1777906654.222,pflash_load,1,51,0,23.16,230.00,1,24576,0
1777906655.273,pflash_load,0,46,0,28.48,230.00,1,24576,0
1777906655.273,pflash_load,1,51,0,22.95,230.00,1,24576,0
1777906656.323,pflash_load,0,46,0,28.35,230.00,1,24576,0
1777906656.323,pflash_load,1,51,0,22.90,230.00,1,24576,0
1777906657.372,pflash_load,0,46,0,28.40,230.00,1,24576,0
1777906657.372,pflash_load,1,51,0,22.75,230.00,1,24576,0
1777906658.422,pflash_load,0,46,0,28.56,230.00,1,24576,0
1777906658.422,pflash_load,1,51,0,22.79,230.00,1,24576,0
1777906659.471,pflash_load,0,46,0,28.40,230.00,1,24576,0
1777906659.471,pflash_load,1,51,0,22.91,230.00,1,24576,0
1 ts phase index temp_c fan_pct power_w power_limit_w mem_used_mib mem_total_mib util_pct
2 1777906480.048 pflash_load 0 48 0 28.86 230.00 1 24576 0
3 1777906480.048 pflash_load 1 53 0 22.93 230.00 1 24576 0
4 1777906481.099 pflash_load 0 52 0 62.34 230.00 1700 24576 0
5 1777906481.099 pflash_load 1 53 0 25.88 230.00 1 24576 0
6 1777906482.142 pflash_load 0 52 0 128.56 230.00 1700 24576 0
7 1777906482.142 pflash_load 1 53 0 26.76 230.00 1 24576 0
8 1777906483.184 pflash_load 0 52 0 127.68 230.00 1700 24576 0
9 1777906483.184 pflash_load 1 53 0 24.05 230.00 1 24576 0
10 1777906484.226 pflash_load 0 53 0 127.82 230.00 1700 24576 0
11 1777906484.226 pflash_load 1 53 0 23.36 230.00 1 24576 0
12 1777906485.268 pflash_load 0 53 0 128.01 230.00 1700 24576 0
13 1777906485.268 pflash_load 1 53 0 23.20 230.00 1 24576 0
14 1777906486.310 pflash_load 0 53 57 128.18 230.00 1700 24576 0
15 1777906486.310 pflash_load 1 53 0 23.31 230.00 1 24576 0
16 1777906487.352 pflash_load 0 53 51 129.74 230.00 1700 24576 0
17 1777906487.352 pflash_load 1 53 0 23.34 230.00 1 24576 0
18 1777906488.407 pflash_load 0 53 53 130.16 230.00 1700 24576 0
19 1777906488.407 pflash_load 1 52 0 23.22 230.00 1 24576 0
20 1777906489.454 pflash_load 0 53 55 129.28 230.00 1700 24576 0
21 1777906489.454 pflash_load 1 53 0 23.16 230.00 1 24576 0
22 1777906490.496 pflash_load 0 53 57 129.52 230.00 1700 24576 0
23 1777906490.496 pflash_load 1 53 0 23.53 230.00 1 24576 0
24 1777906491.539 pflash_load 0 53 57 129.64 230.00 1700 24576 0
25 1777906491.539 pflash_load 1 53 0 23.48 230.00 1 24576 0
26 1777906492.580 pflash_load 0 54 58 129.72 230.00 1700 24576 0
27 1777906492.580 pflash_load 1 52 0 23.42 230.00 1 24576 0
28 1777906493.622 pflash_load 0 54 58 129.79 230.00 1700 24576 0
29 1777906493.622 pflash_load 1 52 0 23.36 230.00 1 24576 0
30 1777906494.663 pflash_load 0 54 58 129.85 230.00 1700 24576 0
31 1777906494.663 pflash_load 1 52 0 23.27 230.00 1 24576 0
32 1777906495.706 pflash_load 0 54 58 129.95 230.00 1700 24576 0
33 1777906495.706 pflash_load 1 52 0 23.16 230.00 1 24576 0
34 1777906496.748 pflash_load 0 54 58 129.99 230.00 1700 24576 0
35 1777906496.748 pflash_load 1 52 0 23.13 230.00 1 24576 0
36 1777906497.791 pflash_load 0 54 59 129.97 230.00 1700 24576 0
37 1777906497.791 pflash_load 1 52 0 23.31 230.00 1 24576 0
38 1777906498.835 pflash_load 0 54 59 130.06 230.00 1700 24576 0
39 1777906498.835 pflash_load 1 52 0 23.47 230.00 1 24576 0
40 1777906499.877 pflash_load 0 54 59 130.10 230.00 1700 24576 0
41 1777906499.877 pflash_load 1 52 0 23.37 230.00 1 24576 0
42 1777906500.918 pflash_load 0 54 59 129.95 230.00 1 24576 0
43 1777906500.918 pflash_load 1 52 0 23.31 230.00 1 24576 0
44 1777906501.962 pflash_load 0 54 59 132.29 230.00 1 24576 0
45 1777906501.962 pflash_load 1 52 0 23.21 230.00 1 24576 0
46 1777906503.007 pflash_load 0 51 59 52.60 230.00 1 24576 0
47 1777906503.007 pflash_load 1 52 0 22.91 230.00 1 24576 0
48 1777906504.057 pflash_load 0 50 59 32.71 230.00 1 24576 0
49 1777906504.057 pflash_load 1 52 0 22.86 230.00 1 24576 0
50 1777906505.109 pflash_load 0 50 59 31.68 230.00 1 24576 0
51 1777906505.109 pflash_load 1 52 0 22.98 230.00 1 24576 0
52 1777906506.176 pflash_load 0 50 59 30.25 230.00 1 24576 0
53 1777906506.176 pflash_load 1 52 0 23.00 230.00 1 24576 0
54 1777906507.238 pflash_load 0 50 59 29.75 230.00 1 24576 0
55 1777906507.238 pflash_load 1 52 0 22.97 230.00 1 24576 0
56 1777906508.288 pflash_load 0 49 59 29.76 230.00 1 24576 0
57 1777906508.288 pflash_load 1 52 0 22.87 230.00 1 24576 0
58 1777906509.339 pflash_load 0 49 59 29.91 230.00 1 24576 0
59 1777906509.339 pflash_load 1 52 0 22.95 230.00 1 24576 0
60 1777906510.388 pflash_load 0 49 59 29.77 230.00 1 24576 0
61 1777906510.388 pflash_load 1 52 0 23.15 230.00 1 24576 0
62 1777906511.438 pflash_load 0 49 59 29.69 230.00 1 24576 0
63 1777906511.438 pflash_load 1 52 0 23.05 230.00 1 24576 0
64 1777906512.488 pflash_load 0 49 59 29.61 230.00 1 24576 0
65 1777906512.488 pflash_load 1 52 0 23.06 230.00 1 24576 0
66 1777906513.538 pflash_load 0 49 59 29.74 230.00 1 24576 0
67 1777906513.538 pflash_load 1 52 0 23.10 230.00 1 24576 0
68 1777906514.585 pflash_load 0 49 59 29.81 230.00 1 24576 0
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345 1777906659.471 pflash_load 1 51 0 22.91 230.00 1 24576 0

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@@ -0,0 +1,17 @@
[transformers] PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (251956 > 131072). Running this sequence through the model will result in indexing errors
Traceback (most recent call last):
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 525, in <module>
main()
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 521, in main
args.func(args)
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 478, in run_bench_niah
run_cases(args, cases)
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 332, in run_cases
ready_s = daemon.start()
^^^^^^^^^^^^^^
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 124, in start
self.log.wait_for("[pflash-daemon] ready", 180)
File "/opt/ai/lucebox-hub/dflash/scripts/phase_split_dual_gpu.py", line 90, in wait_for
raise TimeoutError(f"timed out waiting for {needle!r}; tail={tail[-12:]}")
TimeoutError: timed out waiting for '[pflash-daemon] ready'; tail=['ggml_cuda_init: found 1 CUDA devices (Total VRAM: 24126 MiB):', ' Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes, VRAM: 24126 MiB']

View File

@@ -0,0 +1,2 @@
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 24126 MiB):
Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes, VRAM: 24126 MiB

View File

@@ -0,0 +1,41 @@
ts,phase,index,temp_c,fan_pct,power_w,power_limit_w,mem_used_mib,mem_total_mib,util_pct
1777907036.255,pflash_load,0,51,0,28.92,230.00,1,24576,0
1777907036.255,pflash_load,1,52,0,23.08,230.00,1,24576,0
1777907037.309,niah_ctx16372,0,54,0,61.36,230.00,4348,24576,1
1777907037.309,niah_ctx16372,1,52,0,25.83,230.00,1,24576,0
1777907038.355,niah_ctx32764,0,58,57,210.91,230.00,6972,24576,100
1777907038.355,niah_ctx32764,1,52,0,27.22,230.00,1,24576,0
1777907039.401,niah_ctx32764,0,59,54,223.68,230.00,6984,24576,99
1777907039.401,niah_ctx32764,1,52,0,23.30,230.00,1,24576,0
1777907040.447,niah_ctx65524,0,58,56,211.54,230.00,11004,24576,100
1777907040.447,niah_ctx65524,1,52,0,23.00,230.00,1,24576,0
1777907041.492,niah_ctx65524,0,59,59,224.04,230.00,10954,24576,99
1777907041.492,niah_ctx65524,1,52,0,22.92,230.00,1,24576,0
1777907042.536,niah_ctx65524,0,60,62,227.43,230.00,10954,24576,99
1777907042.536,niah_ctx65524,1,52,0,22.91,230.00,1,24576,0
1777907043.583,niah_ctx65524,0,60,63,226.14,230.00,11482,24576,100
1777907043.583,niah_ctx65524,1,52,0,22.81,230.00,1,24576,0
1777907044.715,niah_ctx131068,0,59,64,190.93,230.00,18702,24576,100
1777907044.715,niah_ctx131068,1,52,0,22.77,230.00,1,24576,0
1777907045.761,niah_ctx131068,0,60,65,221.91,230.00,18944,24576,100
1777907045.761,niah_ctx131068,1,52,0,22.94,230.00,1,24576,0
1777907046.805,niah_ctx131068,0,60,65,227.38,230.00,19138,24576,99
1777907046.805,niah_ctx131068,1,52,0,22.93,230.00,1,24576,0
1777907047.850,niah_ctx131068,0,61,65,227.67,230.00,18944,24576,100
1777907047.850,niah_ctx131068,1,52,0,22.81,230.00,1,24576,0
1777907048.894,niah_ctx131068,0,61,66,227.86,230.00,19138,24576,99
1777907048.894,niah_ctx131068,1,52,0,22.87,230.00,1,24576,0
1777907049.945,niah_ctx131068,0,61,66,227.93,230.00,19138,24576,100
1777907049.945,niah_ctx131068,1,52,0,22.92,230.00,1,24576,0
1777907051.001,niah_ctx131068,0,61,66,227.80,230.00,18944,24576,100
1777907051.001,niah_ctx131068,1,52,0,23.00,230.00,1,24576,0
1777907052.057,niah_ctx131068,0,61,66,228.89,230.00,19138,24576,99
1777907052.057,niah_ctx131068,1,51,0,22.97,230.00,1,24576,0
1777907053.102,niah_ctx131068,0,60,67,219.70,230.00,21024,24576,94
1777907053.102,niah_ctx131068,1,51,0,22.80,230.00,1,24576,0
1777907054.223,niah_ctx131068,0,60,67,191.47,230.00,21024,24576,93
1777907054.223,niah_ctx131068,1,51,0,22.93,230.00,1,24576,0
1777907055.359,niah_ctx131068,0,59,67,190.35,230.00,2046,24576,92
1777907055.359,niah_ctx131068,1,51,0,22.99,230.00,1,24576,0
1777907056.402,cleanup,0,59,67,178.23,230.00,4080,24576,100
1777907056.402,cleanup,1,51,0,22.87,230.00,1,24576,0
1 ts phase index temp_c fan_pct power_w power_limit_w mem_used_mib mem_total_mib util_pct
2 1777907036.255 pflash_load 0 51 0 28.92 230.00 1 24576 0
3 1777907036.255 pflash_load 1 52 0 23.08 230.00 1 24576 0
4 1777907037.309 niah_ctx16372 0 54 0 61.36 230.00 4348 24576 1
5 1777907037.309 niah_ctx16372 1 52 0 25.83 230.00 1 24576 0
6 1777907038.355 niah_ctx32764 0 58 57 210.91 230.00 6972 24576 100
7 1777907038.355 niah_ctx32764 1 52 0 27.22 230.00 1 24576 0
8 1777907039.401 niah_ctx32764 0 59 54 223.68 230.00 6984 24576 99
9 1777907039.401 niah_ctx32764 1 52 0 23.30 230.00 1 24576 0
10 1777907040.447 niah_ctx65524 0 58 56 211.54 230.00 11004 24576 100
11 1777907040.447 niah_ctx65524 1 52 0 23.00 230.00 1 24576 0
12 1777907041.492 niah_ctx65524 0 59 59 224.04 230.00 10954 24576 99
13 1777907041.492 niah_ctx65524 1 52 0 22.92 230.00 1 24576 0
14 1777907042.536 niah_ctx65524 0 60 62 227.43 230.00 10954 24576 99
15 1777907042.536 niah_ctx65524 1 52 0 22.91 230.00 1 24576 0
16 1777907043.583 niah_ctx65524 0 60 63 226.14 230.00 11482 24576 100
17 1777907043.583 niah_ctx65524 1 52 0 22.81 230.00 1 24576 0
18 1777907044.715 niah_ctx131068 0 59 64 190.93 230.00 18702 24576 100
19 1777907044.715 niah_ctx131068 1 52 0 22.77 230.00 1 24576 0
20 1777907045.761 niah_ctx131068 0 60 65 221.91 230.00 18944 24576 100
21 1777907045.761 niah_ctx131068 1 52 0 22.94 230.00 1 24576 0
22 1777907046.805 niah_ctx131068 0 60 65 227.38 230.00 19138 24576 99
23 1777907046.805 niah_ctx131068 1 52 0 22.93 230.00 1 24576 0
24 1777907047.850 niah_ctx131068 0 61 65 227.67 230.00 18944 24576 100
25 1777907047.850 niah_ctx131068 1 52 0 22.81 230.00 1 24576 0
26 1777907048.894 niah_ctx131068 0 61 66 227.86 230.00 19138 24576 99
27 1777907048.894 niah_ctx131068 1 52 0 22.87 230.00 1 24576 0
28 1777907049.945 niah_ctx131068 0 61 66 227.93 230.00 19138 24576 100
29 1777907049.945 niah_ctx131068 1 52 0 22.92 230.00 1 24576 0
30 1777907051.001 niah_ctx131068 0 61 66 227.80 230.00 18944 24576 100
31 1777907051.001 niah_ctx131068 1 52 0 23.00 230.00 1 24576 0
32 1777907052.057 niah_ctx131068 0 61 66 228.89 230.00 19138 24576 99
33 1777907052.057 niah_ctx131068 1 51 0 22.97 230.00 1 24576 0
34 1777907053.102 niah_ctx131068 0 60 67 219.70 230.00 21024 24576 94
35 1777907053.102 niah_ctx131068 1 51 0 22.80 230.00 1 24576 0
36 1777907054.223 niah_ctx131068 0 60 67 191.47 230.00 21024 24576 93
37 1777907054.223 niah_ctx131068 1 51 0 22.93 230.00 1 24576 0
38 1777907055.359 niah_ctx131068 0 59 67 190.35 230.00 2046 24576 92
39 1777907055.359 niah_ctx131068 1 51 0 22.99 230.00 1 24576 0
40 1777907056.402 cleanup 0 59 67 178.23 230.00 4080 24576 100
41 1777907056.402 cleanup 1 51 0 22.87 230.00 1 24576 0

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Below is a long passage. Keep important facts from the passage.
The grass is green. The sky is blue. The sun is yellow. Here we go. sun is yellow. Here we go. There and back again. The special magic keymark0zeta number is 0438574. sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again. The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again.
Question: What is the special magic keymark0zeta number?

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[transformers] PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (251956 > 131072). Running this sequence through the model will result in indexing errors
[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (199996 > 131072). Running this sequence through the model will result in indexing errors
{
"date": "2026-05-04",
"mode": "dual_gpu_pflash_phase_split",
"pflash_gpu": 0,
"pflash_daemon_ready_s": 0.6323865110753104,
"pflash_drafter": "/mnt/models/gguf/qwen3-draft-0.6b/Qwen3-0.6B-BF16.gguf",
"tokenizer": "Qwen/Qwen3-0.6B",
"keep_ratio": 0.05,
"lookahead": 2,
"chunk_size": 32,
"pool_kernel": 13,
"pflash_k_type": "compute",
"cases": [
{
"name": "niah_ctx16372",
"source_tokens": 16372,
"compressed_tokens": 788,
"compress_wall_s": 1.0830025799805298,
"compress_tok_s": 15117.230838262947,
"compression_ratio": 0.04813095528951869,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx32764",
"source_tokens": 32764,
"compressed_tokens": 1628,
"compress_wall_s": 1.799773955019191,
"compress_tok_s": 18204.50835430088,
"compression_ratio": 0.04968868270052497,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx65524",
"source_tokens": 65524,
"compressed_tokens": 3252,
"compress_wall_s": 4.3655310838948935,
"compress_tok_s": 15009.399484458598,
"compression_ratio": 0.04963066967828582,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx131068",
"source_tokens": 131068,
"compressed_tokens": 6524,
"compress_wall_s": 10.801249213982373,
"compress_tok_s": 12134.522350463923,
"compression_ratio": 0.04977568895535142,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx199996",
"source_tokens": 199996,
"compressed_tokens": 0,
"compress_wall_s": 0.10222281608730555,
"compress_tok_s": 1956471.2424786773,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
},
{
"name": "niah_ctx259996",
"source_tokens": 259996,
"compressed_tokens": 0,
"compress_wall_s": 0.09130622097291052,
"compress_tok_s": 2847516.820098575,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
}
],
"resource_summary": {
"samples": 20,
"mem_max_mib": 21024.0,
"temp_max_c": 61.0,
"fan_max_pct": 67.0,
"power_avg_w": 198.707,
"power_max_w": 228.89,
"util_avg_pct": 88.7,
"util_max_pct": 100.0
},
"logs": {
"pflash": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/pflash_daemon.log",
"monitor": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/gpu_monitor.csv"
}
}

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ggml_cuda_init: found 1 CUDA devices (Total VRAM: 24126 MiB):
Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes, VRAM: 24126 MiB
[drafter] loaded Qwen3-0.6B BF16: n_layer=28 n_head=16 n_kv=8 n_embd=1024 n_ff=3072 head_dim=128 vocab=151936
[pflash-daemon] ready load=0.553s vocab=151936
[pflash-daemon] compress start tokens=16372 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx16372/prompt_counted.bin
[qwen3-0.6b-fp] layer 1/28 done (A=0.142s FP=0.011s B=0.017s)
[qwen3-0.6b-fp] layer 28/28 done (A=0.314s FP=0.204s B=0.301s)
[qwen3-0.6b-fp] forward 0.83s (S=16372, A=0.31s FP=0.20s B=0.30s) tail-score 0.18s total 1.00s
[drafter] forward+score in 1.08s S=16372
[drafter] score_and_compress total 1.08s S=16372 kept=788 (25/512 chunks)
[pflash-daemon] compress done 1.081s in=16372 out=788 ratio=0.0481
[pflash-daemon] compress start tokens=32764 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx32764/prompt_counted.bin
[qwen3-0.6b-fp] layer 1/28 done (A=0.010s FP=0.015s B=0.023s)
[qwen3-0.6b-fp] layer 28/28 done (A=0.346s FP=0.539s B=0.602s)
[qwen3-0.6b-fp] forward 1.49s (S=32764, A=0.35s FP=0.54s B=0.60s) tail-score 0.20s total 1.69s
[drafter] forward+score in 1.80s S=32764
[drafter] score_and_compress total 1.80s S=32764 kept=1628 (51/1024 chunks)
[pflash-daemon] compress done 1.797s in=32764 out=1628 ratio=0.0497
[pflash-daemon] compress start tokens=65524 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx65524/prompt_counted.bin
[qwen3-0.6b-fp] layer 1/28 done (A=0.021s FP=0.070s B=0.041s)
[qwen3-0.6b-fp] layer 28/28 done (A=0.731s FP=1.480s B=1.149s)
[qwen3-0.6b-fp] forward 3.37s (S=65524, A=0.73s FP=1.48s B=1.15s) tail-score 0.80s total 4.17s
[drafter] forward+score in 4.36s S=65524
[drafter] score_and_compress total 4.36s S=65524 kept=3252 (102/2048 chunks)
[pflash-daemon] compress done 4.360s in=65524 out=3252 ratio=0.0496
[pflash-daemon] compress start tokens=131068 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx131068/prompt_counted.bin
[qwen3-0.6b-fp] layer 1/28 done (A=0.050s FP=0.159s B=0.084s)
[qwen3-0.6b-fp] layer 28/28 done (A=1.466s FP=4.331s B=2.406s)
[qwen3-0.6b-fp] forward 8.22s (S=131068, A=1.47s FP=4.33s B=2.41s) tail-score 2.39s total 10.60s
[drafter] forward+score in 10.79s S=131068
[drafter] score_and_compress total 10.79s S=131068 kept=6524 (204/4096 chunks)
[pflash-daemon] compress done 10.792s in=131068 out=6524 ratio=0.0498
[pflash-daemon] compress start tokens=199996 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx199996/prompt_counted.bin
ggml_backend_cuda_buffer_type_alloc_buffer: allocating 390.62 MiB on device 0: cudaMalloc failed: out of memory
alloc_tensor_range: failed to allocate CUDA0 buffer of size 409591808
[pflash-daemon] compress failed: forward_qwen3_0p6b: K_curr/V_curr/Q_last alloc failed at layer 25
[pflash-daemon] compress start tokens=259996 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/niah_ctx259996/prompt_counted.bin
ggml_backend_cuda_buffer_type_alloc_buffer: allocating 507.80 MiB on device 0: cudaMalloc failed: out of memory
alloc_tensor_range: failed to allocate CUDA0 buffer of size 532471808
[pflash-daemon] compress failed: forward_qwen3_0p6b: K_curr/V_curr/Q_last alloc failed at layer 18
[pflash-daemon] stopped

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{
"date": "2026-05-04",
"mode": "dual_gpu_pflash_phase_split",
"pflash_gpu": 0,
"pflash_daemon_ready_s": 0.6323865110753104,
"pflash_drafter": "/mnt/models/gguf/qwen3-draft-0.6b/Qwen3-0.6B-BF16.gguf",
"tokenizer": "Qwen/Qwen3-0.6B",
"keep_ratio": 0.05,
"lookahead": 2,
"chunk_size": 32,
"pool_kernel": 13,
"pflash_k_type": "compute",
"cases": [
{
"name": "niah_ctx16372",
"source_tokens": 16372,
"compressed_tokens": 788,
"compress_wall_s": 1.0830025799805298,
"compress_tok_s": 15117.230838262947,
"compression_ratio": 0.04813095528951869,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx32764",
"source_tokens": 32764,
"compressed_tokens": 1628,
"compress_wall_s": 1.799773955019191,
"compress_tok_s": 18204.50835430088,
"compression_ratio": 0.04968868270052497,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx65524",
"source_tokens": 65524,
"compressed_tokens": 3252,
"compress_wall_s": 4.3655310838948935,
"compress_tok_s": 15009.399484458598,
"compression_ratio": 0.04963066967828582,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx131068",
"source_tokens": 131068,
"compressed_tokens": 6524,
"compress_wall_s": 10.801249213982373,
"compress_tok_s": 12134.522350463923,
"compression_ratio": 0.04977568895535142,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx199996",
"source_tokens": 199996,
"compressed_tokens": 0,
"compress_wall_s": 0.10222281608730555,
"compress_tok_s": 1956471.2424786773,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
},
{
"name": "niah_ctx259996",
"source_tokens": 259996,
"compressed_tokens": 0,
"compress_wall_s": 0.09130622097291052,
"compress_tok_s": 2847516.820098575,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
}
],
"resource_summary": {
"samples": 20,
"mem_max_mib": 21024.0,
"temp_max_c": 61.0,
"fan_max_pct": 67.0,
"power_avg_w": 198.707,
"power_max_w": 228.89,
"util_avg_pct": 88.7,
"util_max_pct": 100.0
},
"logs": {
"pflash": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/pflash_daemon.log",
"monitor": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/gpu_monitor.csv"
}
}

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# Dual-GPU PFlash Phase-Split Report
- PFlash GPU: `0`
- PFlash daemon ready: `0.63 s`
- keep ratio: `0.05`
- lookahead: `2`
- PFlash K cache: `compute`
## Resource Peak
| gpu | samples | peak mem MiB | peak temp C | avg power W | peak power W | avg util % | peak util % |
|---:|---:|---:|---:|---:|---:|---:|---:|
| 0 | 20 | 21024.00 | 61.00 | 198.71 | 228.89 | 88.70 | 100.00 |
## Cases
| case | source tokens | compressed tokens | ratio | PFlash s | PFlash tok/s | key retained | answer retained |
|---|---:|---:|---:|---:|---:|:---:|:---:|
| niah_ctx16372 | 16372 | 788 | 0.0481 | 1.08 | 15117.23 | yes | yes |
| niah_ctx32764 | 32764 | 1628 | 0.0497 | 1.80 | 18204.51 | yes | yes |
| niah_ctx65524 | 65524 | 3252 | 0.0496 | 4.37 | 15009.40 | yes | yes |
| niah_ctx131068 | 131068 | 6524 | 0.0498 | 10.80 | 12134.52 | yes | yes |
| niah_ctx199996 | 199996 | 0 | 0.0000 | 0.10 | 1956471.24 | no | no |
| niah_ctx259996 | 259996 | 0 | 0.0000 | 0.09 | 2847516.82 | no | no |
Files:
- pflash: `/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/pflash_daemon.log`
- monitor: `/opt/ai/github/club-3090/results/lucebox-pflash-niah-20260504-150321/gpu_monitor.csv`

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ts,phase,index,temp_c,fan_pct,power_w,power_limit_w,mem_used_mib,mem_total_mib,util_pct
1777907191.039,pflash_load,0,43,0,27.92,230.00,1,24576,0
1777907191.039,pflash_load,1,49,0,22.60,230.00,1,24576,0
1777907192.089,niah_ctx131068,0,47,0,83.13,230.00,18690,24576,17
1777907192.089,niah_ctx131068,1,50,0,25.62,230.00,1,24576,0
1777907193.135,niah_ctx131068,0,51,0,214.50,230.00,18944,24576,99
1777907193.135,niah_ctx131068,1,50,0,26.32,230.00,1,24576,0
1777907194.195,niah_ctx131068,0,53,0,227.52,230.00,19138,24576,100
1777907194.195,niah_ctx131068,1,50,0,23.25,230.00,1,24576,0
1777907195.247,niah_ctx131068,0,53,0,229.01,230.00,19138,24576,99
1777907195.247,niah_ctx131068,1,49,0,22.55,230.00,1,24576,0
1777907196.291,niah_ctx131068,0,54,0,227.81,230.00,18944,24576,100
1777907196.291,niah_ctx131068,1,49,0,22.45,230.00,1,24576,0
1777907197.337,niah_ctx131068,0,53,56,229.25,230.00,19138,24576,99
1777907197.337,niah_ctx131068,1,49,0,22.45,230.00,1,24576,0
1777907198.384,niah_ctx131068,0,54,52,227.66,230.00,19138,24576,100
1777907198.384,niah_ctx131068,1,49,0,22.55,230.00,1,24576,0
1777907199.430,niah_ctx131068,0,54,54,229.18,230.00,18944,24576,99
1777907199.430,niah_ctx131068,1,49,0,22.46,230.00,1,24576,0
1777907200.474,niah_ctx131068,0,53,56,211.57,230.00,21024,24576,94
1777907200.474,niah_ctx131068,1,49,0,22.56,230.00,1,24576,0
1777907201.614,niah_ctx131068,0,53,58,186.76,230.00,21024,24576,93
1777907201.614,niah_ctx131068,1,49,0,22.60,230.00,1,24576,0
1777907202.805,niah_ctx131068,0,53,58,186.52,230.00,2048,24576,84
1777907202.805,niah_ctx131068,1,49,0,22.61,230.00,1,24576,0
1 ts phase index temp_c fan_pct power_w power_limit_w mem_used_mib mem_total_mib util_pct
2 1777907191.039 pflash_load 0 43 0 27.92 230.00 1 24576 0
3 1777907191.039 pflash_load 1 49 0 22.60 230.00 1 24576 0
4 1777907192.089 niah_ctx131068 0 47 0 83.13 230.00 18690 24576 17
5 1777907192.089 niah_ctx131068 1 50 0 25.62 230.00 1 24576 0
6 1777907193.135 niah_ctx131068 0 51 0 214.50 230.00 18944 24576 99
7 1777907193.135 niah_ctx131068 1 50 0 26.32 230.00 1 24576 0
8 1777907194.195 niah_ctx131068 0 53 0 227.52 230.00 19138 24576 100
9 1777907194.195 niah_ctx131068 1 50 0 23.25 230.00 1 24576 0
10 1777907195.247 niah_ctx131068 0 53 0 229.01 230.00 19138 24576 99
11 1777907195.247 niah_ctx131068 1 49 0 22.55 230.00 1 24576 0
12 1777907196.291 niah_ctx131068 0 54 0 227.81 230.00 18944 24576 100
13 1777907196.291 niah_ctx131068 1 49 0 22.45 230.00 1 24576 0
14 1777907197.337 niah_ctx131068 0 53 56 229.25 230.00 19138 24576 99
15 1777907197.337 niah_ctx131068 1 49 0 22.45 230.00 1 24576 0
16 1777907198.384 niah_ctx131068 0 54 52 227.66 230.00 19138 24576 100
17 1777907198.384 niah_ctx131068 1 49 0 22.55 230.00 1 24576 0
18 1777907199.430 niah_ctx131068 0 54 54 229.18 230.00 18944 24576 99
19 1777907199.430 niah_ctx131068 1 49 0 22.46 230.00 1 24576 0
20 1777907200.474 niah_ctx131068 0 53 56 211.57 230.00 21024 24576 94
21 1777907200.474 niah_ctx131068 1 49 0 22.56 230.00 1 24576 0
22 1777907201.614 niah_ctx131068 0 53 58 186.76 230.00 21024 24576 93
23 1777907201.614 niah_ctx131068 1 49 0 22.60 230.00 1 24576 0
24 1777907202.805 niah_ctx131068 0 53 58 186.52 230.00 2048 24576 84
25 1777907202.805 niah_ctx131068 1 49 0 22.61 230.00 1 24576 0

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[transformers] PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (251956 > 131072). Running this sequence through the model will result in indexing errors
[transformers] Token indices sequence length is longer than the specified maximum sequence length for this model (199996 > 131072). Running this sequence through the model will result in indexing errors
{
"date": "2026-05-04",
"mode": "dual_gpu_pflash_phase_split",
"pflash_gpu": 0,
"pflash_daemon_ready_s": 0.6027854409767315,
"pflash_drafter": "/mnt/models/gguf/qwen3-draft-0.6b/Qwen3-0.6B-BF16.gguf",
"tokenizer": "Qwen/Qwen3-0.6B",
"keep_ratio": 0.05,
"lookahead": 2,
"chunk_size": 32,
"pool_kernel": 13,
"pflash_k_type": "q8_0",
"cases": [
{
"name": "niah_ctx131068",
"source_tokens": 131068,
"compressed_tokens": 6524,
"compress_wall_s": 10.65377599094063,
"compress_tok_s": 12302.492572722838,
"compression_ratio": 0.04977568895535142,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx199996",
"source_tokens": 199996,
"compressed_tokens": 0,
"compress_wall_s": 0.10241466399747878,
"compress_tok_s": 1952806.2895848923,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
},
{
"name": "niah_ctx259996",
"source_tokens": 259996,
"compressed_tokens": 0,
"compress_wall_s": 0.10354933398775756,
"compress_tok_s": 2510841.837290222,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
}
],
"resource_summary": {
"samples": 12,
"mem_max_mib": 21024.0,
"temp_max_c": 54.0,
"fan_max_pct": 58.0,
"power_avg_w": 190.06916666666666,
"power_max_w": 229.25,
"util_avg_pct": 82.0,
"util_max_pct": 100.0
},
"logs": {
"pflash": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/pflash_daemon.log",
"monitor": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/gpu_monitor.csv"
}
}

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ggml_cuda_init: found 1 CUDA devices (Total VRAM: 24126 MiB):
Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes, VRAM: 24126 MiB
[drafter] loaded Qwen3-0.6B BF16: n_layer=28 n_head=16 n_kv=8 n_embd=1024 n_ff=3072 head_dim=128 vocab=151936
[pflash-daemon] ready load=0.521s vocab=151936
[pflash-daemon] compress start tokens=131068 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/niah_ctx131068/prompt_counted.bin
[qwen3-0.6b-fp] layer 1/28 done (A=0.193s FP=0.152s B=0.086s)
[qwen3-0.6b-fp] layer 28/28 done (A=1.584s FP=4.234s B=2.342s)
[qwen3-0.6b-fp] forward 8.17s (S=131068, A=1.58s FP=4.23s B=2.34s) tail-score 2.34s total 10.52s
[drafter] forward+score in 10.64s S=131068
[drafter] score_and_compress total 10.64s S=131068 kept=6524 (204/4096 chunks)
[pflash-daemon] compress done 10.645s in=131068 out=6524 ratio=0.0498
[pflash-daemon] compress start tokens=199996 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/niah_ctx199996/prompt_counted.bin
ggml_backend_cuda_buffer_type_alloc_buffer: allocating 390.62 MiB on device 0: cudaMalloc failed: out of memory
alloc_tensor_range: failed to allocate CUDA0 buffer of size 409591808
[pflash-daemon] compress failed: forward_qwen3_0p6b: K_curr/V_curr/Q_last alloc failed at layer 25
[pflash-daemon] compress start tokens=259996 keep=0.050 lookahead=2 chunk=32 pool=13 path=/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/niah_ctx259996/prompt_counted.bin
ggml_backend_cuda_buffer_type_alloc_buffer: allocating 507.80 MiB on device 0: cudaMalloc failed: out of memory
alloc_tensor_range: failed to allocate CUDA0 buffer of size 532471808
[pflash-daemon] compress failed: forward_qwen3_0p6b: K_curr/V_curr/Q_last alloc failed at layer 18
[pflash-daemon] stopped

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{
"date": "2026-05-04",
"mode": "dual_gpu_pflash_phase_split",
"pflash_gpu": 0,
"pflash_daemon_ready_s": 0.6027854409767315,
"pflash_drafter": "/mnt/models/gguf/qwen3-draft-0.6b/Qwen3-0.6B-BF16.gguf",
"tokenizer": "Qwen/Qwen3-0.6B",
"keep_ratio": 0.05,
"lookahead": 2,
"chunk_size": 32,
"pool_kernel": 13,
"pflash_k_type": "q8_0",
"cases": [
{
"name": "niah_ctx131068",
"source_tokens": 131068,
"compressed_tokens": 6524,
"compress_wall_s": 10.65377599094063,
"compress_tok_s": 12302.492572722838,
"compression_ratio": 0.04977568895535142,
"retained_key": true,
"retained_answer": true
},
{
"name": "niah_ctx199996",
"source_tokens": 199996,
"compressed_tokens": 0,
"compress_wall_s": 0.10241466399747878,
"compress_tok_s": 1952806.2895848923,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
},
{
"name": "niah_ctx259996",
"source_tokens": 259996,
"compressed_tokens": 0,
"compress_wall_s": 0.10354933398775756,
"compress_tok_s": 2510841.837290222,
"compression_ratio": 0.0,
"retained_key": false,
"retained_answer": false
}
],
"resource_summary": {
"samples": 12,
"mem_max_mib": 21024.0,
"temp_max_c": 54.0,
"fan_max_pct": 58.0,
"power_avg_w": 190.06916666666666,
"power_max_w": 229.25,
"util_avg_pct": 82.0,
"util_max_pct": 100.0
},
"logs": {
"pflash": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/pflash_daemon.log",
"monitor": "/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/gpu_monitor.csv"
}
}

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# Dual-GPU PFlash Phase-Split Report
- PFlash GPU: `0`
- PFlash daemon ready: `0.60 s`
- keep ratio: `0.05`
- lookahead: `2`
- PFlash K cache: `q8_0`
## Resource Peak
| gpu | samples | peak mem MiB | peak temp C | avg power W | peak power W | avg util % | peak util % |
|---:|---:|---:|---:|---:|---:|---:|---:|
| 0 | 12 | 21024.00 | 54.00 | 190.07 | 229.25 | 82.00 | 100.00 |
## Cases
| case | source tokens | compressed tokens | ratio | PFlash s | PFlash tok/s | key retained | answer retained |
|---|---:|---:|---:|---:|---:|:---:|:---:|
| niah_ctx131068 | 131068 | 6524 | 0.0498 | 10.65 | 12302.49 | yes | yes |
| niah_ctx199996 | 199996 | 0 | 0.0000 | 0.10 | 1952806.29 | no | no |
| niah_ctx259996 | 259996 | 0 | 0.0000 | 0.10 | 2510841.84 | no | no |
Files:
- pflash: `/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/pflash_daemon.log`
- monitor: `/opt/ai/github/club-3090/results/lucebox-pflash-niah-q8k-20260504-150600/gpu_monitor.csv`