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memory: Jev bench done — Intern-Decision-4B is the SemIf replacement candidate

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2026-09-30 05:01:30 -07:00
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@@ -178,6 +178,7 @@ _As of 2026-09-30 ~0120 PT._
### SemIf on fv-ml1 GPU 1 (2026-09-27, Prime) ### SemIf on fv-ml1 GPU 1 (2026-09-27, Prime)
- **OFFLINE since 2026-09-30 0135 PT (Prime: "take semif offline for now; we'll optimize scriberr later").** Stopped with `docker compose stop`, not removed, to give scriberr back its GPU 1 room. Scriberr's Parakeet path hardcodes `--chunk-len 300`, and the attention memory grows with the square of the slice, so it needs over 6 GB; it hit CUDA OOM at 0124 on a 35-min file with ~6.7 GB free. Stopping SemIf moved GPU 1 from 91,052 to 81,806 MiB used. The same job re-run at 0137 finished clean: 35m17s of audio in 44 s. That is n=1, and the peak memory was not captured. **Deferred fix (Prime: later):** shorten scriberr's slice to ~120 s in our local build, then SemIf can come back. Embedding cards were ruled out: esh-ml1 has ~4.4 GB free and nh3-ml1 ~5.1 GB. A replacement bench (brokkr's Jev candidates) is running on GPU 3 under a separate harness. - **OFFLINE since 2026-09-30 0135 PT (Prime: "take semif offline for now; we'll optimize scriberr later").** Stopped with `docker compose stop`, not removed, to give scriberr back its GPU 1 room. Scriberr's Parakeet path hardcodes `--chunk-len 300`, and the attention memory grows with the square of the slice, so it needs over 6 GB; it hit CUDA OOM at 0124 on a 35-min file with ~6.7 GB free. Stopping SemIf moved GPU 1 from 91,052 to 81,806 MiB used. The same job re-run at 0137 finished clean: 35m17s of audio in 44 s. That is n=1, and the peak memory was not captured. **Deferred fix (Prime: later):** shorten scriberr's slice to ~120 s in our local build, then SemIf can come back. Embedding cards were ruled out: esh-ml1 has ~4.4 GB free and nh3-ml1 ~5.1 GB. A replacement bench (brokkr's Jev candidates) is running on GPU 3 under a separate harness.
- **Jev replacement bench DONE 2026-09-30 0149–0456** (Prime's ask via brokkr, GPU 3, transient; the card is back to 2 MiB). **If SemIf is displaced, take Intern-Decision-4B on its own runtime.** It fits (9.7/10.3 GB) and is 1.5-2.3× faster (21 criteria in 88 vs 131 ms). It matches SemIf-with-rotations at ONE ordering (pooled +1.5, inside the ~4-pt floor) and is better on Wyrd. It is not a drop-in (new service + contract) and its card has no contamination statement. **JevBench rank does NOT transfer** to our sets: Plumb, the leader, is worse on Wyrd. The positive control reproduced exactly (SemIf 187/231, hard 0.613), and SemIf changed 0 labels across 4 restarts. About 33 GB of candidate weights stay on fv-ml1 `/tank/aimodels/huggingface/hub` pending Prime. The doc is `docs/pfi/jev-candidates-bench-2026-09-30.md` (475d6d6); the deliverable went to brokkr on thread `01M3RPS5MW5CXMAHPFFS0DF39Y`.
- **Was LIVE: `semif-serve` 0.1.4** (was 0.1.3 until 1014 on 2026-09-27) at `http://10.251.50.54:8032` (`semif.fv.internal`), with order averaging - **Was LIVE: `semif-serve` 0.1.4** (was 0.1.3 until 1014 on 2026-09-27) at `http://10.251.50.54:8032` (`semif.fv.internal`), with order averaging
and the fast kernels. SemIf `23cf1f39`, Qwen3.5-4B `851bf6e8`, BF16; token `semif/api-token`. Code + and the fast kernels. SemIf `23cf1f39`, Qwen3.5-4B `851bf6e8`, BF16; token `semif/api-token`. Code +
contract: `services/semif-serve/`; stack `stacks/semif`. **No consumer yet.** contract: `services/semif-serve/`; stack `stacks/semif`. **No consumer yet.**