scriberr to fv-ml1 GPU 3 (on-demand, steps aside to irv-ml1 A6000); intern-decision 32k-token calls (cap 14.4 GiB)

Prime 2026-09-30: move scriberr to GPU 3 and extend the Jev endpoint to 32k tokens.
Scriberr holds 0 VRAM idle; verified a 20-min job on GPU 3 at 5,496 MiB. With GPU 1
freed, intern-decision's measured card peak at MAX_TOKENS=32768 is 15,220 MiB against
a 15,437 MiB budget (n=3, 1 and 16 questions); 32,769 tokens is refused 422 up front.
JevBench v1.2.16 via /v1/systemone unchanged: 202/231, 0 diffs vs the bench.

stacks/scriberr/.env.example

@@ -19,8 +19,9 @@ SCRIBERR_BIND=0.0.0.0
 SCRIBERR_ALLOWED_ORIGINS=http://10.251.50.54:8080,http://scriberr.fv.internal:8080
 
 # ── GPU ──────────────────────────────────────────────────────────────────
-# GPU0 is fully committed to the `gen` seat; GPU1 is the one with headroom.
-SCRIBERR_GPU_ID=1
+# GPU 3 since 2026-09-30 (Prime): an on-demand tenant of the full-size-seat reserve; it steps aside
+# (to irv-ml1's A6000) when a full-size seat claims GPU 3. See compose.yaml.
+SCRIBERR_GPU_ID=3
 
 # ── Storage (on /tank — NOT the root pool, weights are multi-GB) ─────────
 SCRIBERR_DATA_DIR=/tank/scriberr/data
@@ -48,7 +49,7 @@ SCRIBERR_SECURE_COOKIES=false
 #   tab — keep the configured model on a free local seat.
 # SCRIBERR_OPENAI_API_KEY=
 
-# GPU 1 memory budget (2026-09-30). Parakeet slice length in seconds and the
+# Memory settings measured on GPU 1 (2026-09-30; still in force on GPU 3). Parakeet slice length in seconds and the
 # torch allocator mode; see compose.yaml for the measurements. Defaults apply
 # when unset; override only with a re-measured peak.
 # SCRIBERR_PARAKEET_CHUNK_SECS=120