Frank
7da504a651
Five 262144-token contexts passed every boot gate (KV 1,350,182 / 5.15x) but left 0 bytes free at runtime: a real client request (995-token prompt, max_tokens=261149, sampling params straight from models.yml) killed Worker_TP1 with torch.OutOfMemoryError 'Tried to allocate 50.00 MiB ... 0 bytes free'. Boot is not proof of runtime survivability. Four slots x 262144 fp8 (KV_BYTES 8,311,013,376/rank) returns ~1.93 GiB per rank for activations/graph capture. Unit: Restart=always instead of on-failure — a runtime worker fault makes vLLM's API server exit clean, so ExecStart returned 0 and on-failure never fired, leaving the endpoint down until a human noticed. Also StartLimitIntervalSec=0 and OOMScoreAdjust=-500.
97 lines
5.5 KiB
Bash
97 lines
5.5 KiB
Bash
# frank-primary.env — tcclaviger RDNA4 vLLM production config (dankserver :7770).
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#
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# 2026-10-01 cutover to the BF16-KV no-spec incumbent (the overnight redo
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# campaign's verdict, Frank's call): same digest-pinned engine and payload as
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# the 2026-09-29 cutover, but the KV cache is UNQUANTIZED (auto = bf16) and
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# speculative decode is GONE. Git tag frank-primary-fp8-mtp-20261001 is the
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# last pre-cutover commit; the old shape (fp8 KV + MTP4) is in history and
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# restorable from the tag.
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#
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# Every number here was QUALIFIED by boot probe on 2026-10-01 (not inherited):
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# * MAXLEN 241664 x SEQS 3 (724,992 tokens) at bf16 KV is the DEPLOYED
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# shape (2026-10-01 night ladder): KV_BYTES 10,184,000,000 PER RANK,
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# engine measured "KV cache size: 732,359 tokens; Maximum concurrency
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# for 241,664 tokens per request: 3.03x". 262144 and 245760 both OOMed
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# at graph capture (76 MiB short / 0 bytes free); 237568 passed at
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# 718,606 tokens and the +4096 bonus step passed and won.
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# * KV_BYTES is PER RANK. The old "7.2 GiB ceiling, 9/16 GiB OOM" law was
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# the MTP4 WORKSPACE: the spec-era pool measured 729,545 tokens because
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# the drafter reserved ~2.6 GiB/rank beside the pool. No-spec bf16 takes
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# 11.05 GiB/rank and boots clean — the ceiling was spec's, not VRAM's.
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# * bf16 KV doubles the attention-KV bytes/token (measured 14,047 vs
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# 7,926) and costs ~14% decode vs fp8 at 4064 ctx (49.25 -> 36.42 with
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# the gather win) — traded deliberately for clean cache + 262k windows.
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# * GATHER 32x64 is the night's biggest lever: R4D_LRU_GATHER_CHUNKS=32 /
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# R4D_LRU_GATHER_LANES=64 measured +18.7% decode vs default geometry,
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# and the win grows with depth (39.5@166 -> 54.1@1087 -> 49.3@4064 fp8
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# era). Do not drop it.
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# * MNBT 1024 is Frank's lock: MNBT 512 doubles TTFT at 4064 ctx (2.46 s
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# vs 1.36 s); 1024-4096 are interchangeable on decode; 12288 costs 2.5%
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# and arena. 1024 keeps the workspace floor so the arena stays max.
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# * PREFETCH IS ABSENT BY LAW: expert-cache telemetry measured the
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# prefetcher at 36% precision (36,720 slabs prefetched, 13,369 served) —
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# roughly half the gather traffic was waste. Never re-add
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# --expert-prefetch without a fresh A/B.
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# * TunableOp stays OFF: CLAV_TUNABLEOP_SWEEP silently skips under expert
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# offload unless CLAV_TUNABLEOP_WITH_OFFLOAD=1, and forcing it corrupts
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# numerics.
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#
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# HIP reads bare env vars TEMP, HOST, GPU_MAX_HEAP_SIZE — every key here is
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# prefixed FRANK_PRIMARY_ so none can leak.
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#
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# --- runtime ----------------------------------------------------------------
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# Digest-pinned: the floating :latest tag moved once already. Local alias
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# qwen-fp8-runtime:tuned-20260929 (image ID 3322dbbbc96d) points at the same
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# bytes in rootless storage.
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FRANK_PRIMARY_IMAGE=docker.io/tcclaviger/vllm@sha256:da4029666668b90a0386c1ed23ea370c79916ad4e1a6ad1dd9db098b9fa069ea
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# --- payload ----------------------------------------------------------------
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FRANK_PRIMARY_MODEL_DIR=/home/dank/models/Qwen3.8-Flash-Next-Uncensored-FP8
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FRANK_PRIMARY_MODEL_SHARDS=131
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# --- identity ---------------------------------------------------------------
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# The harness models.yml id stays frank-primary (provider 192.168.0.235:7770).
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FRANK_PRIMARY_CONTAINER=frank-primary-qwen
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FRANK_PRIMARY_SERVED_NAME=frank-primary
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FRANK_PRIMARY_PUBLISH=7770:7770
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# Containers removed before every start: the retired R9V identity and the ad
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# hoc experiment identity (both hold the GPUs / name registrations).
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FRANK_PRIMARY_LEGACY_CONTAINERS="frank-primary-r9v qwen-fp8"
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# --- qualified engine shape (2026-10-01 night ladder, Frank's method) ---------
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# SEQS 4 x MAXLEN 262144 at fp8 KV is the DEPLOYED shape: four contexts of
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# the model's FULL native window, with VRAM headroom the five-slot shape did
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# not have. Measured 2026-10-01: 5 x 262144 booted (KV 1,350,182 tokens /
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# 5.15x) but left ~0 bytes free at runtime, and a real client request
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# (995-token prompt, max_tokens=261149) killed the worker with
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# `torch.OutOfMemoryError: Tried to allocate 50.00 MiB ... 0 bytes free`.
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# Dropping to four slots returns ~1.93 GiB per rank for activations/graphs.
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# At SEQS=3 bf16, 262144/245760 also OOMed at boot and 241664 was max
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# possible; at SEQS=6 fp8, six full-length contexts do NOT fit at all
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# (6 x 241664 asked 10.70 GiB against 9.18 GiB free).
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FRANK_PRIMARY_MAXLEN=262144
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FRANK_PRIMARY_SEQS=4
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FRANK_PRIMARY_KV_BYTES=8311013376
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FRANK_PRIMARY_KV_DTYPE=fp8
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FRANK_PRIMARY_MNBT=1024
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FRANK_PRIMARY_GATHER_CHUNKS=32
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FRANK_PRIMARY_GATHER_LANES=64
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FRANK_PRIMARY_UTIL=0.98
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# --- client contract: reasoning split, tools, preserve_thinking ----------------
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# Without --reasoning-parser the engine leaves the thinking text INLINE in
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# `content` with a dangling `</think>` and a null `reasoning` field (measured
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# 2026-10-01: content = 'We need answer...Brief.\n</think>\n\n391') — the
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# malformed thinking block clients choke on. The qwen3 parser splits it
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# properly. The GLM rollback (d91379d) had dropped all three of these; the
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# working values are the ones ecaad36 shipped for this model.
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FRANK_PRIMARY_REASONING_PARSER=qwen3
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# Tools: --enable-auto-tool-choice + the qwen3_xml parser is what makes
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# tool_calls work here (without it, tool_choice auto returns 400).
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FRANK_PRIMARY_TOOL_PARSER=qwen3_xml
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# preserve_thinking keeps prior thinking blocks in the rendered prompt across
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# turns; enable_thinking makes thinking the server-side default. Verified the
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# payload's tokenizer_config template consumes both keys.
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FRANK_PRIMARY_CHAT_TEMPLATE_KWARGS='{"enable_thinking": true, "preserve_thinking": true}'
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