Set mog-sec's context to a measured ceiling so it refuses instead of dying
Operator: "loading up the context killed sec again." That reproducer is what finally made the failure legible, and it showed the previous four fixes had all been aimed at the wrong quantity. What the KV pool can hold and what the card can process at depth are different numbers. Cutting context 420k to 384k to 320k, pinning the KV in bytes, and dropping the prefill chunk from 16384 to 4096 all sized the pool. The crashes were governed by the transient needed to process a prefill chunk against a quarter million tokens of resident KV, which scales with depth and not with pool size. Each change helped and none fixed it. Bisected against the real reproducer, with a non-repeating prompt because prefix caching would let a repeated one hash to cached blocks and never prefill deep: 113,247 prompt tokens SURVIVED (27 s) 200,088 prompt tokens SURVIVED (174 s) ~285,000 prompt tokens ENGINE DIED, HTTP 500, container restarted The sustainable ceiling therefore sits between 200k and 285k with gen idle, and gen shares the card with its load uncontrolled, so 163,840 takes about 20% margin under the proven-good depth rather than sitting at the measured edge. The ceiling's purpose is the refusal. Verified after the change: a 149,073-token request serves in 41 s, and requests at both 200k and the ~285k depth that killed the engine now return a clean 400 naming the limit in under a second with the seat untouched. A seat that refuses what it cannot serve is strictly better than one that dies trying. Concurrency went 1.03x to 2.09x. The compose header's "served at native 262K" was never actually deliverable on a shared card; it had simply not been exercised at depth until today. The probe is committed rather than described, so the ceiling can be re-measured when the card's tenancy changes.
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@@ -210,7 +210,7 @@ _As of 2026-09-10 10:25 PT._
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- `[2026-09-10]` **BabyBronte H02 adapter: the VOICE transferred, the SENSE did not — operator's read, "it's all nonsense, but it sounds like Brontë's nonsense."** Eyeball A/B (NOT the adjudication; nothing here feeds the frozen rule), 9 arbitrary prompts on a deliberate difficulty gradient × 2 arms × 2 seeds, booth at `http://10.100.10.50:8090/b/babybronte-voice/`. Measured across the 18 pairs: **curly quotes 1/18 base → 18/18 tuned**, **math/worksheet collapse 3/18 base → 0/18 tuned**. Given *"The self-checkout machine refused her coupon"* the base 0.6B produced a **quadratic-formula worksheet**; the tuned arm wrote a clerk refusing a customer in Victorian retrospective first person. This is the expected and informative result for the smallest rung — **voice is separable from coherence at 0.6B**, which is the premise the whole lightweight-adapter regime rests on, and the 1.7B/4B rungs are where sense should return. The 1-epoch loss was still descending at step 169 (undertrained, not overfit), so the incoherence is carrier capacity, not training. ⚠ **Corpus-prep defect found: the tuned output is hard-wrapped at ~70 chars** (median mid-length-line ratio 0.85 vs base 0.00) — the Gutenberg source kept its original line breaks and the adapter learned the typography along with the voice. Unwrap to flowing paragraphs before any real use or the next rung learns it too.
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- `[2026-09-10]` **GPU0 SETTLED after THREE crashes and two failed attempts: mog-sec now runs `MOG_GPU_MEM_UTIL=0.50` + **`MOG_KV_CACHE_MEMORY=17697765376` (KV PINNED IN BYTES)** + `MOG_MAX_MODEL_LEN=327680` (was 0.52 / ratio-inferred KV / 420000).** ⚠ **I got the severity call wrong first**: off a `RestartCount=1` I said "rare, not chronic, do nothing"; the operator pushed back and it crashed twice more (20:20:30Z, 20:30:02Z at the old settings, then 21:46:35Z after the first fix). ⚠ **Dropping utilization alone is NOT the fix and fails in a worse way** — at 0.50 with 420k the seat crash-loops at STARTUP, because one 420k sequence needs 17.88 GiB of KV and the 0.50 pool is 17.4–17.5. ⚠⚠ **THE REAL FINDING: `--gpu-memory-utilization` does NOT bound actual usage.** It sizes the KV calculation, but peak activation is measured at profiling time and real long-context work exceeds the profile. vLLM's own budget line proved mog-sec was running **0.9 GiB OVER** its 47.48 GiB reservation (26.44 consumed + 3.53 peak act + 0.89 CUDAGraph + 17.52 KV = 48.38), and **`gen` was over by 0.33 on the same card** — that overage came out of the shared slack and is what kept OOMing. Fix is the one vLLM printed itself: pin KV in bytes at its recommended 16.48 GiB, same discipline `erp-seat` already uses. **The KV pin and the context length are COUPLED** — 16.48 GiB yields ~383,730 tokens, so 393,216 falls under the 1.0x floor and pinning KV while keeping 384k was never available. Verified after: `reserved 16.48 GiB ... as specified by kv_cache_memory_bytes config and skipped memory profiling`, KV 375,901 tokens, **concurrency 1.15x** (was 1.03x), GPU0 90,561 MiB (~750 MiB reclaimed), both aliases 200 through the gateway. Backups `.env.bak-util052-20260910` and `.env.bak-384k-20260910`; full reasoning in `stacks/mog-sec/compose.yaml`'s header. Cost: 320k context instead of 420k, on a seat whose crashes happened at ~151k.
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- `[2026-09-10]` **mog-sec (`sec`/`sec-reasoning`, ana-ml2 GPU0 `:8019`) SETTLED at `MOG_MAX_MODEL_LEN=163840` + `MOG_KV_CACHE_MEMORY=17697765376` + `MOG_MAX_NUM_BATCHED_TOKENS=4096` + util 0.50, after FIVE crashes and four wrong fixes.** ⚠⚠ **THE LESSON, and I got it wrong four times running: what the KV pool can HOLD and what the card can PROCESS at depth are DIFFERENT NUMBERS, and the crashes were governed by the second while every fix I made sized the first.** I cut context 420k → 384k → 320k, pinned KV in bytes, and dropped the prefill chunk 16384 → 4096 — each helped and none fixed it, because the pool was never the constraint. ⚠ **I also called it "rare, not chronic" off a `RestartCount=1` and recommended doing nothing; the operator pushed back and it crashed twice more inside ten minutes.** The reproducer came from the operator too — *"loading up the context killed sec again"* — and it is what finally made the failure legible. **Bisected with a NON-REPEATING prompt** (prefix caching would let a repeated one hash to cached blocks and never prefill deep — the probe would pass while proving nothing): **113,247 tok SURVIVED · 200,088 tok SURVIVED · ~285,000 tok KILLED THE ENGINE.** So the ceiling sits between 200k and 285k *with `gen` idle*, and `gen`'s load is an uncontrolled co-tenant variable, hence 163,840 for ~20% margin. ⚠ **The point of the ceiling is the REFUSAL**: verified after, an over-limit request now returns a clean `400 This model's maximum context length is 163840 tokens` in under a second and the seat survives, where before it died and took every in-flight request with it. **A seat that refuses what it cannot serve beats one that dies trying.** Concurrency 1.03x → **2.09x**; 149,073-token request served in 41 s. ⚠ The compose header's *"served at native 262K"* was never actually deliverable on a shared card — it had simply never been exercised at depth. Probe committed at `services/mog-sec-tuning/deep_ctx_probe.py`; backups `.env.bak-{util052,384k,batched16384}-20260910`.
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- `[2026-09-10]` ⚠ **Near-miss on measurement discipline, worth keeping as a specimen.** The crash window logged `Avg Draft acceptance rate: 17.6%` and per-position rates of 0.049/0.024/0.015 for draft positions 5–7, which reads as an obvious "cut `num_speculative_tokens` 7 → 3, it is buying nothing." Across **180 samples** of the same counter over the container's life the real distribution is **median acceptance length 3.12 of 7 (range 1.83–6.75)** and **median draft acceptance 30.4% (range 11.9–82.1%)** — the crash window was near the *minimum*, not the norm, and cutting to 3 would cap the workloads that were accepting nearly the full 7-wide draft. **The n=1 window pointed the opposite way from the n=180 distribution.** Same session that wrote "a positive control is only worth what it can distinguish"; the lesson generalises to log lines.
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- `[2026-09-10]` **R49 carrier SETTLED on dense `Qwen3-{0.6,1.7,4}B-Base`, overriding H02's own pin — the newest carrier was the SLOW one.** Dense 4.089 B trains 33% faster than hybrid 0.765 B; no fused SSM kernel installed. D1–D3 built, 1-epoch pilot beats the 3-epoch by 0.21 nats held-out. → `persistent-memory.d/2026-09-10-r49-babybronte-d1-d3-and-the-1-epoch-pilot.md`
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