The VLLM_ATTENTION_BACKEND env var does not exist in this vLLM dev build (warns 'Unknown vLLM environment variable' and is ignored), so the pin landed nowhere and Gemma4's hook force-selected TRITON_ATTN again. Pass --attention-backend TURBOQUANT as a CLI flag instead.
86 lines
3.3 KiB
Bash
Executable File
86 lines
3.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Serve google/gemma-4-12B-it-qat-w4a16-ct as frank-small on Dankclaw's RTX
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# 3090 via vLLM (since 2026-09-18), with the google bf16 MTP assistant
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# for speculative decoding.
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#
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# This script is the CONTAINER ENTRYPOINT of the frank-small quadlet: the
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# vllm/vllm-openai image's own entrypoint is `vllm serve`, and the quadlet
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# replaces it with this file (mounted read-only out of the repo checkout) so
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# the flag set stays in git. The image pins the gemma4-unified vLLM build,
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# which is what loads gemma4_unified natively and runs the Gemma 4 MTP path.
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#
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# MTP: the drafter is a separate 4-layer assistant checkpoint in bf16
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# (Google's original gemma-4-12B-it-assistant). It goes in
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# --speculative-config as method "mtp" — vLLM's Gemma 4 MTP path, not a
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# generic draft model. The w4a16-ct re-quant of the assistant was tried
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# first and drafts at acceptance 1.00 (the drafter path does not apply the
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# Marlin kernel to its linears); the bf16 assistant accepts at 2.80.
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#
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# Sampling: greedy by default (fleet contract) via
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# --override-generation-config; clients that send their own temperature get
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# their own, and the harness overrides per model from models.yml.
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#
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# Tunables come from frank-small.env (mounted beside this file by the
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# quadlet) unless FRANK_SMALL_ENV_FILE overrides the path.
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set -euo pipefail
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ENV_FILE="${FRANK_SMALL_ENV_FILE:-/scripts/frank-small.env}"
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if [[ -f "$ENV_FILE" ]]; then
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set -a
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# shellcheck disable=SC1090
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source "$ENV_FILE"
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set +a
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fi
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# --- defaults (used when the env file does not set them) -------------------
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: "${MODEL_DIR:=/models/main}"
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: "${DRAFT_DIR:=/models/assistant}"
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: "${ALIAS:=frank-small}"
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: "${BIND_ADDR:=0.0.0.0}"
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: "${LISTEN_PORT:=8000}"
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: "${MAX_MODEL_LEN:=262144}"
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: "${GPU_MEM_UTIL:=0.95}"
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: "${KV_CACHE_DTYPE:=auto}"
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: "${MAX_NUM_SEQS:=16}"
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: "${MAX_NUM_BATCHED_TOKENS:=16384}"
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: "${SPEC_NUM_TOKENS:=4}"
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: "${ATTENTION_BACKEND:=TURBOQUANT}"
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: "${ENFORCE_EAGER:=0}"
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# Fail loudly rather than half-loading a model into VRAM: a missing file here
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# is a download that has not finished, and the unit's restart policy would
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# otherwise turn that into a crash loop that reads like a runtime fault.
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for path in "$MODEL_DIR/model.safetensors" "$MODEL_DIR/config.json" \
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"$DRAFT_DIR/model.safetensors" "$DRAFT_DIR/config.json"; do
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[[ -e "$path" ]] || { echo "frank-small: missing $path" >&2; exit 1; }
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done
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SPEC_CONFIG="{\"method\":\"mtp\",\"model\":\"${DRAFT_DIR}\",\"num_speculative_tokens\":${SPEC_NUM_TOKENS}}"
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VLLM_FLAGS=(
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serve "$MODEL_DIR"
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--served-model-name "$ALIAS"
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--host "$BIND_ADDR"
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--port "$LISTEN_PORT"
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--max-model-len "$MAX_MODEL_LEN"
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--gpu-memory-utilization "$GPU_MEM_UTIL"
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--kv-cache-dtype "$KV_CACHE_DTYPE"
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--max-num-seqs "$MAX_NUM_SEQS"
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--max-num-batched-tokens "$MAX_NUM_BATCHED_TOKENS"
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--attention-backend "$ATTENTION_BACKEND"
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--speculative-config "$SPEC_CONFIG"
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--reasoning-parser gemma4
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--enable-auto-tool-choice
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--tool-call-parser gemma4
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--override-generation-config '{"temperature": 0}'
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)
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# ENFORCE_EAGER=1 skips Inductor/Triton compilation and CUDA graph capture
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# (slower steady-state decode, faster and more robust boot). The 3090 is
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# sm_86 (Ampere) — no native fp8 — so KV stays bf16 and the default
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# graphed path is the right one; the knob is a boot-debugging lever.
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if [[ "$ENFORCE_EAGER" == "1" ]]; then
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VLLM_FLAGS+=(--enforce-eager)
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fi
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exec vllm "${VLLM_FLAGS[@]}"
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