vh
2c3ef7a8af
Prime's call via brokkr: h2o-lightning-4b replaces the intern-decision seat once
albok-dev re-validates Nemi's sensitivity judge on it. services/h2o-decision-front
builds on infra-hermes's admission proxy (30f36f2): 32,000-token refuse-not-trim,
the seat's bearer token, and intern-decision-serve's /decide/shared mapping onto
/v1/systemone so the judge runs unchanged. stacks/h2o-eval serves it on GPU 3
:8034 exactly as benched (vLLM 0.30.0 + unmodified vendor shim; weights hashed
against HF b43f759b). INC keeps serving production on GPU 1.
14 lines
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Markdown
14 lines
1.0 KiB
Markdown
# h2o-eval (TEMPORARY) — fv-ml1 GPU 3, :8034
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h2o-lightning-4b @ b43f759b behind `services/h2o-decision-front` (copied into `conf/front/`), for albok-dev's
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re-validation of Nemi's sensitivity judge before the GPU 1 cutover (Prime 2026-10-12 via brokkr). **Remove right after
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the cutover:** GPU 3 is for transient work only (Scriberr and MIA use it).
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- Weights: `/tank/aimodels/h2o-lightning-4b-b43f759b` (copied from the bench kit; model.safetensors sha256
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`2d51561f221e1549d91bd1c38b3512a1435dd32950d454a9f040f1d4d11497b6`, tokenizer.json `5f9e4d49…`, shim git oid
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`fee7807e…`, serve_config `5e6fef1c…`: all equal to Hugging Face at b43f759b).
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- vLLM exactly as benched: `--max-model-len 40960 --max-num-seqs 16 --gpu-memory-utilization 0.1506`, vision limits as
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the vendor's serve.sh; healthy ~3 min after `up` (graph capture), ~14.4 GB on GPU 3.
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- `.env` on the host: `FRONT_TOKEN` = intern-decision's token (= vault `albok/judge-token`).
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- Remove: `cd /opt/docker/compose/h2o-eval && docker compose down` (the weights stay for the GPU 1 seat).
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