vh
6b201e1d4a
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.
20 lines
1.2 KiB
Bash
20 lines
1.2 KiB
Bash
# intern-decision — copy to /opt/docker/compose/intern-decision/.env on fv-ml1 (mode 0600).
|
|
# Built on fv-ml1 from services/intern-decision-serve (see README "Building").
|
|
IMAGE=intern-decision-serve:0.1.2
|
|
PORT=8033
|
|
HOST_IP=10.251.50.54
|
|
# fv-ml1 GPU 1 = the utility card (vllm-coder, erp, meromero). scriberr moved to GPU 3 (2026-09-30).
|
|
GPU_ID=1
|
|
# HARD torch-allocator cap: the single knob that holds the container's WHOLE nvidia-smi footprint
|
|
# (CUDA context included, ~660 MiB outside the allocator) inside GPU 1's free memory (infra-ops,
|
|
# 2026-09-30 1330): with the vLLM seats static, this container may use its rest (8,812) + GPU 1
|
|
# nvidia-smi Free (6,625) = 15,437 MiB. 14.4 GiB cap -> card ceiling ~15,408. README "VRAM".
|
|
VRAM_CAP_GIB=14.4
|
|
# Tokens per CALL (state + up to 16 questions), checked BEFORE the forward pass: a longer call is a
|
|
# clear 422. 32,768 = Jev's "32k for state plus the longest question"; measured to fit under 14.4 GiB
|
|
# at a card peak of 15,220 MiB (1 question and 16 questions, n=3 each). Change the two TOGETHER, and
|
|
# re-measure (README "VRAM"): a larger value would let a call reach the cap and return 503.
|
|
MAX_TOKENS=32768
|
|
# >= 32 characters; source of truth: secret get intern-decision/api-token
|
|
INTERN_DECISION_API_TOKEN=
|