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c35f6510bf
Layout: GPU 0 = cyberprev (KV 16 -> 15 GiB, 1.29x), erp-seat (moved from GPU 1, KV 8.49 -> 5.5 GiB, 1.32x), voices (ctx 8,192 -> 40,960, its native maximum, KV 6 GiB, 1.07x), coder (moved from GPU 1, ctx 16,384 -> 32,768, the card maximum, 2.35x), parakeet-nemo. GPU 1 = gen-small (moved from GPU 0, 5.5 GiB, 1.76x), meromero-rp (22 GiB, 1.32x), intern-decision. Sizing rule: KV >= 1.25x max context rounded up to 0.5 GiB, checked against 7 days of LiteLLM traffic and the engines' own KV-usage logs. Each card keeps spare memory for its bursty tenant (parakeet's cap on GPU 0, intern-decision's 32k call on GPU 1). YaRN extensions are not enabled: they do not fit, and the Qwen cards warn static YaRN degrades short prompts. gen-small gets --override-generation-config max_new_tokens 32768. It applies only to requests that omit max_tokens (vLLM get_max_tokens) and answers 9 runaway ~260k-token replies in 7 days; the longest normal reply was 6,357. Applied with playbooks/fv-ml1-rebalance-20261005.yaml (boot-check guard and health/KV verification per seat); all nine seats healthy, gateway smoke tests pass.
17 lines
866 B
Bash
17 lines
866 B
Bash
# erp-seat — ana-ml2 GPU1. Real .env lives on the host at /opt/docker/compose/erp-seat/.env.
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ERP_IMAGE=vllm/vllm-openai:nightly-311b3513af33bc29b4acb2fde2e9313e5e9966a0
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ERP_MODEL=/tank/aimodels/G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16
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ERP_SERVED_NAME=G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16
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ERP_CHAT_TEMPLATE=/tank/aimodels/G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16/chat_template.jinja
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ERP_PORT=8021
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# 2026-10-05 rebalance: GPU 0, KV pinned 5.5 GiB (~346k tokens, 1.32x); util = boot check only.
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ERP_GPU_ID=0
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# 0.35 x 97.9 GiB = 34 GiB. GPU1 had ~47 GiB free on 2026-09-08 (scriberr/embed/rerank/coder/reward resident).
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ERP_GPU_MEM_UTIL=0.25
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ERP_MAX_MODEL_LEN=262144
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ERP_MAX_NUM_SEQS=32
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API_KEY=
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# 8.49 GiB -> 534,649 KV tokens -> 2.04x a 262,144 context (operator's KV = 2x rule).
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ERP_KV_CACHE_MEMORY=5905580032
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ERP_MOE_BACKEND=auto
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