vh
dd627b3b31
Dark-Scarlett v1.0 refuses too much on the char-rp-reasoning seat. Root cause is visible on its card: ReadyArt/Dark-Scarlett-v1.0-27B is a plain finetune of stock Qwen/Qwen3.6-27B, tagged unaligned/nsfw/erp but carrying no abliteration -- the base model's refusal machinery is intact, so off-distribution prompts revert to safety-tuned Qwen3.6 behaviour. Candidate kkuspa/Qwen3.6-27B-Fable-Fusion-711-...-NVFP4A16 is refusal-ablated (Heretic), a structural edit rather than a behavioural preference. Verified before pulling: Qwen3_5ForConditionalGeneration wrapper class, 15 mtp.* tensors in a separate bf16 shard AND individually enumerated in quantization_config.ignore, NVFP4A16 with null input_activations, FP8 KV scales shipped, 262K context, Apache-2.0. Staged byte-verified at /tank/aimodels/fable-fusion-711-nvfp4a16 (28.55 GB). services/refusal-probe: deterministic marker-based classifier (LLM judge only breaks AMBIGUOUS ties, never overrides), intensity-graded battery so the report renders a refusal curve rather than an average, benign controls that gate run validity, and explicit handling of the thinking-budget trap -- empty content with finish_reason=length is reasoning exhausting the budget, not a refusal, and is excluded from the denominator. stacks/fablefusion-charrp-probe: throwaway :8019 seat serving as char-rp-probe, never aliased to char-rp-reasoning. MTP depth 3 rather than the card's 5 -- its 1.56x was measured greedy, and acceptance degrades at the temp 1.0 this seat is probed at. GPU1 is zero-sum at 94.9/97.9 GB, so this seat takes Dark-Scarlett's vacated slot; the A/B is sequential.
87 lines
3.1 KiB
YAML
87 lines
3.1 KiB
YAML
# fablefusion-charrp-probe — THROWAWAY evaluation seat for
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# kkuspa/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP-NVFP4A16
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# on ana-ml2 GPU1, served as `char-rp-probe` on :8019.
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#
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# ⚠️ THIS IS NOT A PRODUCTION SEAT. It exists to A/B against the live
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# Dark-Scarlett `char-rp-reasoning` seat (:8018) on refusal rate. It is
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# deliberately NOT wired into any LiteLLM alias — see the "no false aliases"
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# rule: nothing may answer to `char-rp-reasoning` except the real seat.
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#
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# ⚠️ GPU1 IS ZERO-SUM. The card sits at ~94.9/97.9 GB with the utility cluster
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# co-resident. This seat CANNOT run alongside darkscarlett-charrp-reasoning —
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# it takes DS's vacated slot at the same util. Sequence:
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# docker compose -p darkscarlett-charrp-reasoning down
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# docker compose -p fablefusion-charrp-probe up -d # probe
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# docker compose -p fablefusion-charrp-probe down
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# docker compose -p darkscarlett-charrp-reasoning up -d # restore
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#
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# Differences from the DS seat, and why:
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# --speculative-config : FF ships its 15 MTP tensors in bf16 and lists them
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# in quantization_config.ignore, so MTP actually
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# loads here (DS's quant dropped them). Depth 3 to
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# match the gen seat, not the card's 5 — the card's
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# 1.56x was measured GREEDY, and acceptance falls at
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# the temp 1.0 this seat is probed at.
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# --served-model-name : char-rp-probe, never char-rp-reasoning.
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name: fablefusion-charrp-probe
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services:
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vllm-fablefusion-probe:
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image: ${FF_IMAGE:-vllm/vllm-openai:latest}
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container_name: ${FF_CONTAINER:-vllm-fablefusion-probe}
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restart: "no" # throwaway: never resurrect itself across a reboot
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ipc: host
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ports:
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- "${FF_PORT:-8019}:8000"
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volumes:
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- /tank/aimodels:/tank/aimodels
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environment:
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- PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
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- VLLM_API_KEY=${API_KEY:-}
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command:
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- ${FF_MODEL:-/tank/aimodels/fable-fusion-711-nvfp4a16}
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- --quantization
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- compressed-tensors
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- --language-model-only
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- --served-model-name
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- char-rp-probe
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- --reasoning-parser
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- qwen3
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- --tool-call-parser
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- qwen3_coder
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- --enable-auto-tool-choice
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- --max-model-len
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- "${FF_MAX_MODEL_LEN:-262144}"
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- --max-num-seqs
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- "${FF_MAX_NUM_SEQS:-32}"
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- --gpu-memory-utilization
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- "${FF_GPU_MEM_UTIL:-0.44}"
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- --kv-cache-dtype
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- fp8
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- --speculative-config
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- '{"method":"qwen3_5_mtp","num_speculative_tokens":${FF_MTP_DEPTH:-3}}'
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- --trust-remote-code
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids:
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- "${FF_GPU_ID:-1}"
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capabilities:
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- gpu
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 600s
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networks:
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- tnet
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networks:
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tnet:
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name: traefik-net
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external: true
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