vh
36c173c6a1
Autonomous overnight run under the operator's full-autonomy grant. End state:
fleet up, gen seat untouched, a new verified pen-test seat serving where fable was.
PPL on the orcarouter gen seat (fable downed to free GPU1 for a nospec probe,
probe torn down after): mean 7.07 / median 5.76, within noise of heresy 6.910 /
5.625 and identical to our recipe's usual 7.059. The gen-seat search is settled.
M.O.G.-SEC: chose Blackfrost-Research/M.O.G.-SEC-27B-1M-CTX-BF16 (rev deede677)
over the pre-made ModelOpt NVFP4, which was disqualified on W4A4 4-bit activations
(the AEON degradation mode, catastrophic on a 1M-context model), zero MTP tensors,
and ModelOpt format. Pulled, format-screened (P(<think>) 1.11e-05, clean), quanted
in-house to mixed NVFP4+FP8 (23.4 GB, MTP + vision preserved), and served in the
retired fable slot.
stacks/mog-sec ana-ml2 GPU1 :8019, KV 418,218 tok / 1.60x @ 262K
aliases mog-sec (non-thinking), mog-sec-reasoning (thinking)
gates surface 6/6, MTP 55.3%, format 0/15 leak, vision 7/3/1,
capability 4/4 (delivers offensive-security content)
Served at native 262K, NOT the card's 1M -- the 1M needs YaRN (absent from the
weights' config) plus the SGLang/DFlash2 path the repo ships a deployment kit for,
neither of which is our vLLM surface. A real 1M seat is a separate SGLang project.
Retired char-rp-reasoning + char-rp-fable (zero traffic, pointed at the downed
fable :8019; now 404 cleanly, not repointed -- a security model is not an RP model).
char-rp (meromero) untouched. Vision preprocessor built from the model's own
image_processor block, same trick as the MeroMero seat.
GPU0 seats (gen, meromero) were untouched and healthy throughout. The quant ran in
GPU1 free space with no production seat stopped except fable, which was replaced.
21 lines
599 B
Bash
21 lines
599 B
Bash
# mog-sec tunables — pen-test seat (ana-ml2 GPU 1, :8019). Edit the real .env on
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# the server, never commit it.
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MOG_IMAGE=vllm/vllm-openai:nightly-311b3513af33bc29b4acb2fde2e9313e5e9966a0
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API_KEY=
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MOG_GPU_ID=1
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MOG_CONTAINER_NAME=vllm-mog-sec
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MOG_PORT=8019
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MOG_SERVED_NAME=mog-sec-27b
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MOG_SERVED_NAME_THINK=mog-sec-27b-thinking
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MOG_MODEL=/tank/aimodels/mog-sec-27b-nvfp4-mixed
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MOG_QUANT=compressed-tensors
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MOG_GPU_MEM_UTIL=0.44
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MOG_MAX_MODEL_LEN=262144
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MOG_MAX_NUM_SEQS=16
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MOG_KV_CACHE_DTYPE=fp8
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MOG_REASONING_PARSER=qwen3
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MOG_REASONING_EFFORT=medium
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MOG_SPEC_METHOD=qwen3_5_mtp
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MOG_SPEC_TOKENS=3
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