vh
c08992f95f
The :8033 seat now serves h2oai/h2o-lightning-4b @ b43f759b on vLLM 0.30.0 with byte-pinned KV (4.48 GiB, 135,558 tokens) behind services/h2o-decision-front: 32k refuse-not-trim admission, the seat's bearer token, and /decide + /decide/shared translated onto /v1/systemone for albok-nemi's judge. URL, port, token and stack name are unchanged. INC down 13:08:18, h2o healthy 13:11:27. Post-checks on the live seat: /health at the pinned revision; JevBench public 205/231 (= bench); 422 over the cap; 16q at the cap warm 2.0-2.16 s; seat peak 16,164 MiB under 4 concurrent 16q x 32k calls against a 16,847 budget. compose.inc.yaml + rollback-to-inc.sh restore Intern-Decision-4B in one step. The temporary GPU 3 eval seat (stacks/h2o-eval) is down.
1.3 KiB
1.3 KiB
h2o-eval (TEMPORARY) — fv-ml1 GPU 3, :8034
DOWN since 2026-10-12 1319 PT (
docker compose down), once the GPU 1 cutover's post-checks passed. The host keeps/opt/docker/compose/h2o-evaland the weights, so it can come back on GPU 3 for a transient test withdocker compose up -d.
h2o-lightning-4b @ b43f759b behind services/h2o-decision-front (copied into conf/front/), for albok-dev's
re-validation of Nemi's sensitivity judge before the GPU 1 cutover (Prime 2026-10-12 via brokkr). Remove right after
the cutover: GPU 3 is for transient work only (Scriberr and MIA use it).
- Weights:
/tank/aimodels/h2o-lightning-4b-b43f759b(copied from the bench kit; model.safetensors sha2562d51561f221e1549d91bd1c38b3512a1435dd32950d454a9f040f1d4d11497b6, tokenizer.json5f9e4d49…, shim git oidfee7807e…, serve_config5e6fef1c…: all equal to Hugging Face at b43f759b). - vLLM exactly as benched:
--max-model-len 40960 --max-num-seqs 16 --gpu-memory-utilization 0.1506, vision limits as the vendor's serve.sh; healthy ~3 min afterup(graph capture), ~14.4 GB on GPU 3. .envon the host:FRONT_TOKEN= intern-decision's token (= vaultalbok/judge-token).- Remove:
cd /opt/docker/compose/h2o-eval && docker compose down(the weights stay for the GPU 1 seat).