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scriberr: carry patch 0002 (gap retry + PARAKEET_MODEL_PATH), live as dropout2

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Prime: Scriberr gets the basic fix, v3 stays (no NeMo 3.0.0 surgery). 0002 moves
from proposed/ into the carried set; scriberr-rebuild now applies 0001+0002 by
default (suffix dropout2) and its memory budget becomes a 5,600 MiB regression
guard (Scriberr is on GPU 3). Live on fv-ml1 1602: scripts rewritten from the
patched embed, a 20-min file at 5,502 MiB with retried_gaps reported.
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vh
2026-09-30 16:03:07 -07:00
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@@ -184,6 +184,7 @@ _As of 2026-09-30 ~0120 PT._
- **Dropout INVESTIGATED 2026-09-30 (Prime via coordinator; investigation only, nothing deployed):** `docs/pfi/parakeet-dropout-investigation-2026-09-30.md`. Real losses against ground truth (SCOTUS official transcript, Gutenberg #38916): v3 loses ~140 / 66 / 50 / 51 clean words per transcript (audiobook / argument / p1 / p2). Cause = v2/v3 0.6B weights collapse deep in long full-attention windows (encoder-side; 1.1B TDT/RNNT/CTC never do). No decoding, context, loudness or resampling fix. **Fix = re-transcribe ≥3 s speech gaps: −80–90 % everywhere** → `stacks/scriberr/patches/proposed/0002` (+ `PARAKEET_MODEL_PATH`), built as `scriberr:local-blackwell-a353078-dropout2`, NOT deployed; peak 5,506 MiB. Prime's calls: ship 0002?; v2 (0 on his files, collapses on read speech) vs keep v3; parakeet-unified-en-0.6b (needs NeMo 3.0.0 + NVIDIA Open Model License). Weights pulled pinned into `/tank/aimodels/huggingface` (~30 GB); throwaway env `/tank/spikes/scriberr-slicer/envs/nemo300`.
- Scriberr moved to **fv-ml1 GPU 3** (coordinator, 2026-09-30); `scriberr-rebuild` memory stage now counts only its own PIDs and needs ≥20 GB free. Its default budget is still the retired GPU 1 5,496 MiB (0002 peaks 5,506 → pass `--budget`).
- Private bench data (copies of Prime's two uploads + transcripts) sits in fv-ml1 `/tank/spikes/scriberr-slicer/private/` (mode 700), kept pending Prime; the public audio and metrics are beside it.
- **Scriberr gap-retry fix (patch 0002) LIVE 1602 2026-09-30** as `scriberr:local-blackwell-a353078-dropout2` (Prime: "basic fix, no surgery for the new toolkit"; v3 stays). The investigation (`docs/pfi/parakeet-dropout-investigation-2026-09-30.md`) found the v3 drops are real against ground truth (50–140 words per transcript); the retry cuts them 80–90%. Live check: 5,502 MiB, `retried_gaps` reported. Rollback: `.env.bak-20260930-pre-dropout2` / slicer1. Leftovers kept pending Prime: 26 GB of candidate weights, `envs/nemo300`, and the private bench data in `/tank/spikes/scriberr-slicer/`.
- **2026-09-30 1322–1335, Prime: "Go GPU 3 now and extend the jev endpoint to hit 32k tokens".** DONE.
- **Scriberr is on fv-ml1 GPU 3** (`SCRIBERR_GPU_ID=3`; a 20-min file verified at 5,496 MiB). It is an on-demand tenant of the reserve, like Blender: it STEPS ASIDE when a full-size seat claims GPU 3, and it goes to **irv-ml1's A6000**, NOT back to GPU 1.
- **intern-decision: `VRAM_CAP_GIB=14.4`, `MAX_TOKENS=32768`** (Jev's 32k). The measured card peak at the limit is 15,220 MiB (1 and 16 questions, n=3) against a 15,437 budget; 32,769 tokens → 422; latency 2.1 s at 32k. JevBench is still 202/231 with 0 diffs.