vh
b94d173887
The first cyberprev quant served pure gibberish despite passing every structural check. Root cause: the hotdogs/Qwen3.8-27B-abliterated-cyber-preview checkpoint ships broken -- 850 of 1199 tensors (the whole transformer body) carry a TRIPLED `language_model.` prefix, confirmed present in the upstream HF index (an unsloth export bug, not our download). transformers silently loaded the unmapped tensors as random-init, the pipeline quantized noise, and structural verification passed because it inspects the output config, never that input names mapped. A plain greedy coherence smoke caught it; nothing structural could. Fix: rewrite tensor names against a known-good reference of the same architecture (qwen38-27b-uncensored-bf16), verified the repaired name-set == reference name-set exactly (1199 tensors, 0 collisions), and re-quantized from the corrected source (cyberprev-bf16-fixed). v2 is coherence-verified (spec off AND live with dflash): Paris/Berlin/Rome, correct arithmetic precedence, primes, clean cyber-domain chat with a proper thinking split. dflash k=7 measured at 2.77 mean acceptance length. Seat serves cyberprev-27b / cyberprev-27b-thinking on :8025/GPU0 with dflash k=7, displacing the retired sentinel-r3. Gateway: removed the retired sentinel-r3 / sentinel-r3-reasoning aliases and added cyberprev-27b / cyberprev-reasoning -- NOT repointed, since serving cyberprev weights under sentinel's name is silent substitution. Verified end-to-end through the gateway; sentinel-r3 now 400s. Playbook gains a superseded-claims row: structural verification does not imply a good quant; a coherence smoke is the load-bearing gate, and third-party sources must have their tensor names diffed against a reference before quantizing. Broken v1 quant dir removed.
59 lines
3.7 KiB
Bash
59 lines
3.7 KiB
Bash
# cyberprev-seat — hotdogs/Qwen3.8-27B-abliterated-cyber-preview, fv-ml1 GPU 0, :8025.
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# Copy to .env on the host at /opt/docker/compose/cyberprev-seat/.env.
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# ── Image ───────────────────────────────────────────────────────────────────
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# Same pinned nightly mog-sec and sentinel-r3 run. Not :latest — pin it, so a seat
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# restart cannot silently change the engine under a measured configuration.
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CYBER_IMAGE=vllm/vllm-openai:nightly-e9d1398d9edfd90fcc1cf783805240e3effec013
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API_KEY=replace-me
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# ── Placement ───────────────────────────────────────────────────────────────
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# GPU 0, co-resident with mog-sec. Took over :8025 from the retired sentinel-r3 seat.
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CYBER_GPU_ID=0
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CYBER_PORT=8025
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CYBER_CONTAINER_NAME=vllm-cyberprev
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# ── Model ───────────────────────────────────────────────────────────────────
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# In-house mixed quant, compressed-tensors (NOT modelopt_fp4).
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# ⚠ Quantized from /tank/aimodels/cyberprev-bf16-FIXED, not the raw download. The raw
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# hotdogs export ships 850/1199 body tensors with a TRIPLED `language_model.` prefix
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# (upstream bug) -> quant of the raw source is gibberish that passes every structural
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# check. cyberprev-bf16-fixed is the name-repaired source (verified tensor-for-tensor
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# against qwen38-27b-uncensored-bf16). See docs/pfi/model-quantization-playbook.md.
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CYBER_MODEL=/tank/aimodels/cyberprev-nvfp4-mixed-v2
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CYBER_QUANT=compressed-tensors
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# ⚠ Its OWN name. Do not reuse `sentinel-r3` — that seat is retired and its gateway
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# aliases are deliberately left to 404 rather than repointed at different weights.
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CYBER_SERVED_NAME=cyberprev-27b
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CYBER_SERVED_NAME_THINK=cyberprev-27b-thinking
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# ── Memory ──────────────────────────────────────────────────────────────────
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# 0.40 of the card, sharing GPU 0 with mog-sec. KV pinned in bytes (8 GiB) so the
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# figure is reproducible regardless of what else is resident at start time.
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CYBER_GPU_MEM_UTIL=0.40
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CYBER_KV_CACHE_MEMORY=8589934592
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# ⚠ 163840, NOT native 262144. Inherited from mog-sec, which crashed five times
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# learning that the KV pool's capacity and the card's processing depth are different
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# numbers. Raising this requires a deep-prefill probe with a NON-REPEATING prompt on
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# THIS checkpoint — a repeated prompt hashes to cached blocks and never prefills deep.
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CYBER_MAX_MODEL_LEN=163840
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CYBER_MAX_NUM_SEQS=16
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CYBER_MAX_NUM_BATCHED_TOKENS=4096
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CYBER_KV_CACHE_DTYPE=fp8
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# ── Speculative decoding ────────────────────────────────────────────────────
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# One var, whole JSON — the two shapes are not interchangeable (dflash needs a
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# "model", MTP must not have one).
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# DFlash2 : {"method": "dflash", "model": "/drafter", "num_speculative_tokens": 7}
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# MTP : {"method": "qwen3_5_mtp", "num_speculative_tokens": 3}
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# dflash k=7 is the default, carried from the sentinel measurement (2.40 vs 2.18).
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# ⚠ Re-measure on THIS body before trusting it: cyberprev is ABLITERATED, and
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# abliteration is precisely what can desync an MTP head. Gate MTP on a measured
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# acceptance of >=~40%, never on an assumption.
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CYBER_SPEC_CONFIG={"method": "dflash", "model": "/drafter", "num_speculative_tokens": 7}
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CYBER_REASONING_PARSER=qwen3
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CYBER_REASONING_EFFORT=medium
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CYBER_ALLOC_CONF=
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