Frank
a4fe5f6839
The scrape has never worked: lastError is "server returned HTTP status 501 Not Implemented" on http://host.containers.internal:7771/metrics, and the oldest retained sample of up{job="frank-zealot"} (2026-10-11) is already 0 -- the target has been red across four payload generations while /health answered 200 the whole time, keeping the critical LlmEndpointDown alert permanently active. llama.cpp gates /metrics behind --metrics; halogen serves it natively, which is why the asymmetry looked like a 3090-only problem. METRICS=1 in the shipped env, --metrics reaches the argv through EXTRA_ARGS, and the seam asserts both directions (default ships the flag, METRICS=0 strips it). Diagnosed via /api/v1/targets lastError rather than the alert list, which is also the lesson: Alertmanager here has no persistence, so a reboot re-stamps startsAt and a weeks-old fault looks fresh.
151 lines
7.1 KiB
Bash
Executable File
151 lines
7.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Serve prism-ml/Ternary-Bonsai-2-27B (PQ2_0 ternary quant) as frank-zealot on
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# Dankclaw's RTX 3090 via llama.cpp (PrismML vendor build 10754, CUDA sm_86).
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#
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# 2026-10-17 (Frank): Bonsai-2 PQ2_0 swap at TWO 200,704-token conversations
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# (--ctx-size 401408 --parallel 2) with q8_0 K + q8_0 V — f16 KV does not fit
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# this geometry: the engine's own fit projected 33,198 MiB against 23,558 free
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# and cudaMalloc failed on the 25,088 MiB pool. MTP stays off: this GGUF
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# carries no MTP tensors (verified from its tensor-name list). Verbosity 4
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# ships so the VRAM-fit forensics (KV layout, buffer sizes, graph capture)
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# land in the journal.
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#
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# Architecture: qwen35 — 27B, 64 blocks with full_attention_interval 4 (16
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# full-attention layers + 48 Gated DeltaNet linear layers), 24 heads / 4 KV
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# heads × 256 dim, native 262,144, vocab 248,320. The KV pool scales with the
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# 16 full layers: 34 KiB/token at q8_0 K + q8_0 V (13,328 MiB at the 401,408
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# pool); the DeltaNet layers cost a fixed recurrent state per SLOT (~150 MiB —
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# boot-ledger context minus KV). Boot ledger: 22,664 used / 1,461 free, with
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# the Q8_0 projector's 873 MiB landing AFTER the engine's fit projection.
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# The runtime is a hard lock, not a preference: the file carries 402 tensors
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# of custom GGML type 142 plus prism.hadamard.* metadata, which only the
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# vendor build registers — stock llama.cpp refuses it at load.
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# Vision comes from the publisher's Q8_0 projector, so --mmproj is what gives
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# this endpoint eyes; MMPROJ_FILE="" is the documented text-only opt-out.
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#
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# Sampling: llama.cpp takes it per request (the fleet harness sends the file's
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# own template defaults from models.yml: thinking temp 1.0 / top_p 0.95 / top_k 20).
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#
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# Tunables come from frank-zealot.env unless FRANK_ZEALOT_ENV_FILE overrides.
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set -euo pipefail
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SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
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ENV_FILE="${FRANK_ZEALOT_ENV_FILE:-$SCRIPT_DIR/frank-zealot.env}"
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if [[ -f "$ENV_FILE" ]]; then
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set -a
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# shellcheck disable=SC1090
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source "$ENV_FILE"
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set +a
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fi
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# --- defaults (used when the env file does not set them) -------------------
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: "${LLAMA_BIN:=/home/dank/GitPackages/llama-prism/llama-server}"
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: "${MODEL_FILE:=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
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: "${ALIAS:=frank-zealot}"
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: "${BIND_ADDR:=0.0.0.0}"
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: "${LISTEN_PORT:=7771}"
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# ctx-size is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
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# per conversation, inside the model's trained 262,144. The harness
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# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
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# with a 400, never truncated.
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: "${CTX_SIZE:=401408}"
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: "${PARALLEL:=2}"
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# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
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# 2048 is the measured CUDA optimum (MiMo era, same arch/shape: +4.6 % prefill
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# at 8.9k depth, decode flat, 616 MiB). The logical batch is VRAM- and
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# throughput-neutral at a fixed ubatch.
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: "${BATCH_SIZE:=4096}"
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: "${UBATCH_SIZE:=2048}"
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# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 2 × 200,704 on this
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# card. 34 KiB/token at this geometry (16 full-attention layers × 4 KV heads ×
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# 256 dim); 13,328 MiB at the 401,408 pool. f16 measured OOM; q4_0 is the
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# fallback rung (16,392 used / 7,733 free). Explicit either way so the contract
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# is visible in the argv, and --flash-attn stays required for quantized V
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# (no true fp8 KV dtype exists in this build).
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: "${CACHE_TYPE_K:=q8_0}"
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: "${CACHE_TYPE_V:=q8_0}"
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# Speculative decoding is OFF: this PQ2_0 file carries NO nextn/mtp tensors, so
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# there is no in-file head (the law: MTP is a property of the file, not of the
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# flags). SPEC_TYPE=none strips BOTH speculative flags (flags move as a set);
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# an MTP-bearing CRACK re-export exists upstream (ManniX-ITA, +451 MB) if
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# decode ever needs it — that is a new payload with its own VRAM bill, never a
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# flag flip on this file.
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: "${SPEC_TYPE:=none}"
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: "${SPEC_DRAFT_N_MAX:=3}"
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: "${SPEC_DRAFT_FILE:=}"
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: "${NGL:=99}"
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# Log verbosity threshold (llama.cpp -lv). 3 is the engine default (info);
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# 4 adds debug detail (KV layout, buffer sizes, graph capture) which is what
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# the VRAM-fit forensics need. Levels above 4 flood the journal.
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: "${VERBOSITY:=3}"
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# /metrics needs the flag: llama.cpp returns 501 unless the server starts with
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# --metrics, and Dankclaw's Prometheus scrapes every fleet endpoint's /metrics —
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# a 501 reads as DOWN, which is how the critical LlmEndpointDown alert ended up
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# firing for this service ever since the metric has history at all — the oldest
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# retained sample of up{job="frank-zealot"} (2026-10-11) is already 0, so this
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# target has never been scraped successfully, across every payload era. The
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# counters cost nothing on the request path;
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# METRICS=0 is the documented opt-out.
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: "${METRICS:=1}"
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# Vision projector. No colon on purpose: an explicitly empty value means
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# "text-only, on purpose" and must NOT be replaced by the default path.
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: "${MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf}"
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# Fail loudly rather than half-loading: a missing file is a download that
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# has not finished, and Restart=always would turn it into a crash loop that
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# reads like a runtime fault.
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for path in "$LLAMA_BIN" "$MODEL_FILE"; do
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[[ -e "$path" ]] || { echo "frank-zealot: missing $path" >&2; exit 1; }
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done
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EXTRA_ARGS=()
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if [[ -n "$MMPROJ_FILE" ]]; then
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[[ -e "$MMPROJ_FILE" ]] || { echo "frank-zealot: missing $MMPROJ_FILE" >&2; exit 1; }
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EXTRA_ARGS+=(--mmproj "$MMPROJ_FILE")
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fi
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# Prometheus scraping is opt-IN in llama.cpp: without --metrics the server
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# answers 501 on /metrics, and the fleet scrape then reports the endpoint DOWN.
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if [[ "$METRICS" = "1" ]]; then
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EXTRA_ARGS+=(--metrics)
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fi
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# Speculative flags move as a set: they reach the argv ONLY when a drafter
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# is named. SPEC_TYPE=none (the shipped contract) strips both — a no-spec
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# baseline must not carry half a spec pair.
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if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
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EXTRA_ARGS+=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
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if [[ -n "$SPEC_DRAFT_FILE" ]]; then
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[[ -e "$SPEC_DRAFT_FILE" ]] || { echo "frank-zealot: missing $SPEC_DRAFT_FILE" >&2; exit 1; }
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EXTRA_ARGS+=(--spec-draft-model "$SPEC_DRAFT_FILE")
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fi
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fi
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# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
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# open after boot; make sure it exists before the server needs it.
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nvidia-modprobe -u -c=0 2>/dev/null || true
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# Flash attention stays pinned on: it is REQUIRED for quantized V (q8_0),
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# and the build carries GGML_CUDA_FA_ALL_QUANTS=ON (since 2026-09-17), so
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# the q8_0 KV contract in frank-zealot.env is a real path — without this
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# flag or that build option the engine silently falls back and the
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# contract becomes a lie.
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ARGS=(
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--model "$MODEL_FILE"
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--alias "$ALIAS"
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--host "$BIND_ADDR"
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--port "$LISTEN_PORT"
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--ctx-size "$CTX_SIZE"
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--parallel "$PARALLEL"
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--batch-size "$BATCH_SIZE"
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--ubatch-size "$UBATCH_SIZE"
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--n-gpu-layers "$NGL"
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--flash-attn on
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--cache-type-k "$CACHE_TYPE_K"
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--cache-type-v "$CACHE_TYPE_V"
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--log-verbosity "$VERBOSITY"
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--jinja
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--reasoning auto
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--reasoning-format deepseek
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)
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exec "$LLAMA_BIN" "${ARGS[@]}" ${EXTRA_ARGS[@]+"${EXTRA_ARGS[@]}"}
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