feat(frank-zealot): Bonsai-2-9B PQ2_0 with the MTP head at 3 x 262,144
Swap the 3090 endpoint from Ternary-Bonsai-2-27B PQ2_0 (2 x 200,704,
fork build 10754) to Ternary-Bonsai-2-9B PQ2_0 with the MTP head IN the
file, three conversations at the trained 262,144 window
(--ctx-size 786432 --parallel 3), on vendor fork build 10777 -- the
minimum build that pairs MTP with a quantized V cache. q8_0 K + q8_0 V
is the only KV that fits: 13,056 MiB against a 26,112 MiB f16 pair.
Settled boot 17,876 used / 6,249 free.
MTP is armed and then DECLINED by measurement: the draft context bills
its own f16 KV over the whole pool (3,072 MiB) and at UBATCH_SIZE=2048
that halves decode (167.2 -> 109.2 t/s). The documented MTP arm
(SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024, 213.5 t/s) is recorded in the
env header rather than left to rediscovery.
Two bugs the trial caught: ${SPEC_PRESENCE_PENALTY:=0.0} was a
default-assignment, so the env value always won and the no-presence-penalty
MTP arm was unreachable (now ${VAR=0.0}); and the Q8_0 mmproj is the
publisher's requirement for concurrent image requests, which matters at
--parallel 3.
contextWindow is now 262144 -- the widest in the fleet -- so :7771 is the
compaction hub. 27B runbook re-banned RETIRED with its bench-window
section closed; indexes, homepage card, OpenWebUI doc and the worklog
re-keyed.
This commit is contained in:
Frank
+25
-17
@@ -1225,24 +1225,31 @@ deploy_llm_dragoon() {
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# deploy_llm_zealot — frank-zealot is llama.cpp (PrismML fork build) on the
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# RTX 3090 as a ROOT unit: the runtime is a native binary tree under
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# ~/GitPackages/llama-prism (vendor release build 10754, commit 2459f68b5 —
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# the ONLY loader that registers the payload's custom tensor type 142 and
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# reads its prism.hadamard.* metadata), so there is no container image and no
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# generated unit to avoid. relink_unit points
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# /etc/systemd/system/frank-zealot.service at the repo file and boot
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# persistence is that unit's [Install] section.
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# ~/GitPackages/llama-prism-b10777 (vendor release prism-b10777-e3de715,
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# `--version` = 0.2.0-dev build 10777 commit e3de71522 — the ONLY loader class
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# that registers the payload's custom tensor type 142 and reads its
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# prism.hadamard.* metadata, and since 2026-10-18 ALSO the minimum build for
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# this endpoint: the card gates quantized V alongside MTP on
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# `prism-b10776-d00e252` or newer, which the 27B-era 10754 tree predates), so
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# there is no container image and no generated unit to avoid. relink_unit
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# points /etc/systemd/system/frank-zealot.service at the repo file and boot
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# persistence is that unit's [Install] section. The former 10754 tree
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# (~/GitPackages/llama-prism) stays on disk as the rollback runtime.
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#
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# It is a SEPARATE endpoint on port 7771; frank-dragoon keeps 7770. The 3090 is
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# not shared: frank-dragoon's engine runs on the gfx1151 iGPU.
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LLM_ZEALOT_MODEL_FILE="${LLM_ZEALOT_MODEL_FILE:-/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
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LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-prism/llama-server}"
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LLM_ZEALOT_MODEL_FILE="${LLM_ZEALOT_MODEL_FILE:-/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf}"
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LLM_ZEALOT_RUNTIME="${LLM_ZEALOT_RUNTIME:-/home/dank/GitPackages/llama-prism-b10777/llama-server}"
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# The projector IS the vision capability here: the Bonsai-2 text file carries
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# no vision tensors, so the publisher's own mmproj (Qwen3-VL tower, 27 blocks,
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# 768 px, qwen3vl_merger, 629,246,976 B) is the whole image path — a deploy
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# that starts without it silently ships a text-only endpoint. Checked
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# unconditionally, like frank-dragoon's. Its 873.10 MiB worst-case VRAM lands
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# AFTER the engine's fit check, so it is not inside the q8_0 budget.
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LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf}"
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# 768 px, qwen3vl_merger, projection_dim 4096, 624,229,664 B) is the whole
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# image path — a deploy that starts without it silently ships a text-only
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# endpoint. Checked unconditionally, like frank-dragoon's. Q8_0 is MANDATORY,
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# not a preference: the card says the BF16 tower can crash llama-server when
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# several image requests run at once, and this endpoint runs --parallel 3. Its
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# 868.32 MiB worst-case VRAM (595.29 model + 248.10 compute in the boot ledger)
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# lands AFTER the engine's fit check, so it is not inside the q8_0 budget.
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LLM_ZEALOT_MMPROJ="${LLM_ZEALOT_MMPROJ:-/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf}"
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deploy_llm_zealot() {
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# Refuse rather than restart-loop: a unit whose runtime or payload is
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@@ -1250,15 +1257,16 @@ deploy_llm_zealot() {
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# endpoint dark with nothing in the log to say why.
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if [[ ! -x "$LLM_ZEALOT_RUNTIME" ]]; then
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echo "ERROR: llama.cpp runtime absent at $LLM_ZEALOT_RUNTIME" >&2
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echo "frank-zealot: fetch the PrismML fork release build (build 10754," >&2
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echo "frank-zealot: commit 2459f68b5) into ~/GitPackages/llama-prism first —" >&2
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echo "frank-zealot: stock llama.cpp refuses the payload's custom tensor type 142." >&2
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echo "frank-zealot: fetch the PrismML fork release build (prism-b10777-e3de715," >&2
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echo "frank-zealot: linux-cuda-12.4 asset) into ~/GitPackages/llama-prism-b10777 first:" >&2
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echo "frank-zealot: stock llama.cpp refuses the payload's custom tensor type 142, and" >&2
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echo "frank-zealot: builds older than b10776 cannot pair MTP with a quantized V cache." >&2
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return 1
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fi
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for f in "$LLM_ZEALOT_MODEL_FILE" "$LLM_ZEALOT_MMPROJ"; do
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if [[ ! -f "$f" ]]; then
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echo "ERROR: frank-zealot payload file absent at $f" >&2
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echo "frank-zealot: run scripts/download-frank-zealot-bonsai2.sh first;" >&2
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echo "frank-zealot: run scripts/download-frank-zealot-bonsai9.sh first;" >&2
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echo "frank-zealot: refusing to start a unit that cannot load." >&2
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return 1
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fi
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Executable
+87
@@ -0,0 +1,87 @@
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#!/usr/bin/env bash
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# Download the frank-zealot payload for llama.cpp on the RTX 3090:
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# prism-ml/Ternary-Bonsai-2-9B-gguf — the **PQ2_0 packing with the MTP draft
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# head built in** (the card: "load it instead of the plain PQ2_0, not alongside
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# it") plus the PUBLISHER's OWN **Q8_0** vision tower. Public repo — no auth
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# header, and never a token on the command line (world-readable in
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# /proc/<pid>/cmdline).
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#
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# THE Q8_0 mmproj IS MANDATORY, NOT A PREFERENCE. The card: with the current
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# fork build "the BF16 mmproj can crash llama-server when several image
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# requests run at once; Q8_0 is not affected and quality is nearly the same."
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# frank-zealot runs --parallel > 1, i.e. exactly that concurrent-image shape.
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#
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# Fresh downloads, no resume (`curl -C -` once produced a 213 MB oversized file
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# on a 31 GiB payload); -f/--fail-with-body so an HTTP error is not a success,
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# then byte count and sha256 against the Hub's **LFS oid** (this repo IS LFS,
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# unlike the HauhauCS Xet repo the 2026-10-07 era used, so the sha values below
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# are the Hub's own — verified at fetch, not computed locally).
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# Idempotent: complete files are skipped.
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#
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# Rollback payload stays on disk: /home/dank/models/Bonsai2-PQ2_0/ (the
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# Ternary-Bonsai-2-27B PQ2_0 file + its mmproj, cut over 2026-10-17), with
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# Bonsai2-CRACK/ (the uncensored 27B re-export) beside it.
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#
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# Usage:
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# scripts/download-frank-zealot-bonsai9.sh [DEST_DIR] [--verify-only]
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set -euo pipefail
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DEST=""
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VERIFY_ONLY=0
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for arg in "$@"; do
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case "$arg" in
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--verify-only) VERIFY_ONLY=1 ;;
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*) DEST="$arg" ;;
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esac
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done
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DEST="${DEST:-/home/dank/models/Bonsai2-9B-MTP}"
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# repo | hub-name | dest-name | bytes | sha256 (Hub LFS oid)
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FILES=(
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"prism-ml/Ternary-Bonsai-2-9B-gguf|Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf|Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf|2675410720|c79fcdfaf6b7bf47089b50dadcfd11f9ce7d3e96adf3bbefde7912e5ef69e22b"
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"prism-ml/Ternary-Bonsai-2-9B-gguf|Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf|Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf|624229664|e0cb6f6988cea323ef798cd77d019bbb819af75582f034eaab0e7232314953db"
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)
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mkdir -p "$DEST"
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status=0
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for entry in "${FILES[@]}"; do
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IFS='|' read -r repo hubname destname size sha <<<"$entry"
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url="https://huggingface.co/${repo}/resolve/main/${hubname}"
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f="$DEST/$destname"
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have=0
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if [[ -f "$f" ]] && [[ "$(stat -c%s "$f")" == "$size" ]]; then
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if sha256sum -c --quiet <(printf '%s %s\n' "$sha" "$f"); then
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have=1
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fi
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fi
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if (( have )); then
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echo "OK $destname"
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continue
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fi
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if (( VERIFY_ONLY )); then
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echo "MISSING $destname"
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status=1
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continue
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fi
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echo "FETCHING $destname (from $repo)"
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tmp="$f.part"
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curl -fsSL --fail-with-body -o "$tmp" "$url"
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mv "$tmp" "$f"
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if [[ "$(stat -c%s "$f")" != "$size" ]]; then
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echo "SIZE FAIL $destname ($(stat -c%s "$f") != $size)"
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status=1
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continue
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fi
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if ! sha256sum -c --quiet <(printf '%s %s\n' "$sha" "$f"); then
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echo "SHA FAIL $destname"
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status=1
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continue
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fi
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echo "VERIFIED $destname"
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done
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if (( status == 0 )); then
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echo "DOWNLOAD_DONE $DEST"
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else
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echo "DOWNLOAD_FAILED $DEST" >&2
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fi
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exit "$status"
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+104
-51
@@ -1,29 +1,39 @@
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# frank-zealot — llama.cpp (PrismML fork build, CUDA) serving
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# prism-ml/Ternary-Bonsai-2-27B-gguf at PQ2_0 on the RTX 3090, :7771.
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# frank-zealot — llama.cpp (PrismML fork build 10777, CUDA) serving
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# prism-ml/Ternary-Bonsai-2-9B-gguf at PQ2_0 **with the MTP head in the file**
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# on the RTX 3090, :7771.
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#
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# 2026-10-17 (Frank): swap from Qwen3.5-9B-Uncensored Q6_K to the Bonsai-2-27B
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# ternary checkpoint at the SAME shape Frank asked for — TWO 200,704-token
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# conversations — with q8_0 K + q8_0 V (f16 is arithmetically impossible here,
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# see the KV law), MTP off (the file carries no nextn/mtp tensors), verbosity 4.
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# 2026-10-18 (Frank): swap from the Bonsai-2-**27B** PQ2_0 to the 9B MTP export
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# at THREE 262,144-token conversations (Frank: "if you can possibly fit a third
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# context, do it"). The 9B bills HALF the KV of the 27B per token, which is what
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# funds 3 x the native window on one 24,123 MiB card. Speculative decoding ships
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# OFF — measured, not assumed; see the MTP law below, which is the whole story
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# and the reason the publisher's "depth 2 works best" line does not transfer.
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#
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# THE RUNTIME IS A LOCK, NOT A PREFERENCE. The file is general.file_type 141
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# with 402 tensors of the CUSTOM GGML type 142 (pq2_0) plus prism.hadamard.*
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# metadata (normalized-Sylvester-Walsh transform, block 1024, 401 named
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# weights, inverse on token_embd, gdn_v_grouped). Stock llama.cpp refuses type
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# 142 at load; only the PrismML fork registers the type AND reads the Hadamard
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# metadata. The vendor prebuilt build 10754 (commit 2459f68b5) is what every
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# number in this file was measured on; sha256 12ae5baba033d8cd…
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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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MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf
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# The CRACK re-export (dealignai/Bonsai-2-27B-Ternary-CRACK-GGUF, uncensored,
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# already on disk at /home/dank/models/Bonsai2-CRACK/) is a ONE-LINE swap: the
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# header census proves byte-identical geometry (851 tensors, same
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# {pq2_0:402, f32:353, bf16:96} histogram, 64 blocks, vocab 248,320, same
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# 8,952-char chat template) and the official file's sha256 is the Hub LFS oid.
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# Bonsai-2 is the BASE (censored) Qwen3.8 family; if a compaction or subagent
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# request ever comes back with a refusal, point MODEL_FILE at the CRACK file
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# and restart — the VRAM ledger below does not move.
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# carrying custom GGML type 142 tensors plus prism.hadamard.* metadata
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# (normalized-Sylvester-Walsh transform); stock llama.cpp refuses type 142 at
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# load and a loader that ignored the Hadamard metadata would dequant WRONG. On
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# top of that lock, MTP beside a quantized V cache needs fork build >= b10776,
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# so the vendor prebuilt moved from 10754 (commit 2459f68b5, the 27B era) to
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# 10777 (commit e3de71522). The 10754 tree stays on disk as the rollback
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# runtime for the 27B payload.
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LLAMA_BIN=/home/dank/GitPackages/llama-prism-b10777/llama-server
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# 2,675,410,720 B, Hub LFS sha256 c79fcdfaf6b7… (verified at fetch by
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# scripts/download-frank-zealot-bonsai9.sh). This IS the MTP build: the draft
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# head ships INSIDE the checkpoint, so MTP availability is a property of the
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# FILE, never of a flag. The plain PQ2_0 sibling could not run it at any flag
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# value; loading this file instead of that one is the only change that matters.
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MODEL_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf
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# 624,229,664 B, Hub LFS sha256 e0cb6f69… — Q8_0 IS MANDATORY, not a preference:
|
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# the publisher's card says the BF16 mmproj "can crash llama-server when several
|
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# image requests run at once; Q8_0 is not affected", and this endpoint runs
|
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# --parallel 3, i.e. exactly that shape. The projector's worst case lands AFTER
|
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# the engine's own fit check, so it is never inside a projection number.
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MMPROJ_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf
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# Base alignment: Bonsai-2 is the censored BASE lineage. The 27B CRACK re-export
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# (/home/dank/models/Bonsai2-CRACK/) is byte-identical geometry to the 27B it
|
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# matched, NOT to this 9B file — if a refusal ever surfaces there is no
|
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# one-line swap here; the 9B dealigned export would have to be fetched first.
|
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#
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# Served model id — the harness/family name. The SERVICE, unit, scripts and
|
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# this env file keep the frank-zealot name; only the alias on the wire is the
|
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@@ -32,40 +42,83 @@ MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.ggu
|
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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. MUST stay divisible by PARALLEL (the seam enforces it) and
|
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# the harness contextWindow quotes the PER-SLOT number — a longer prompt is
|
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# answered with a 400, never truncated. The model's native window is 262,144;
|
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# 2 × 262,144 at q8_0 projects 25,758 MiB and does NOT fit this card (measured
|
||||
# f16 analogue: 41,118). One 262,144 slot fits with 5,995 MiB free but
|
||||
# serializes compaction, so the pair stays.
|
||||
CTX_SIZE=401408
|
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PARALLEL=2
|
||||
# CTX_SIZE is the POOL llama.cpp divides across slots: 786,432 / 3 = 262,144 per
|
||||
# conversation — each slot at the model's TRAINED window, which is the point of
|
||||
# the swap (the 27B era had to cut each conversation to 200,704 to fit two).
|
||||
# MUST stay divisible by PARALLEL (the seam enforces it) and the harness
|
||||
# contextWindow quotes the PER-SLOT number — a longer prompt is answered with a
|
||||
# 400, never truncated. The ceiling cannot go past 3 x 262,144: that is the
|
||||
# native wall (no YaRN in this path) and the arithmetic agrees — a 4th slot
|
||||
# would push each below the compaction contract.
|
||||
CTX_SIZE=786432
|
||||
PARALLEL=3
|
||||
BATCH_SIZE=4096
|
||||
# Ubatch is a prefill knob (decode never moves) with NO interior optimum on this
|
||||
# CUDA card up to 2048 — 2048 is the measured optimum (+4.6 % prefill). It has a
|
||||
# second job here: it sets the compute-buffer size, and the compute buffers are
|
||||
# what decide whether MTP fits (see the MTP law). 1024 is the documented MTP arm.
|
||||
UBATCH_SIZE=2048
|
||||
# KV law (from the GGUF header, then confirmed by the boot ledger): 16
|
||||
# full-attention layers (full_attention_interval 4 over 64 blocks) × 4 KV heads
|
||||
# × 256 dim = 16,384 elements per token per cache. q8_0 bills 17,408 B per
|
||||
# cache ⇒ 34,816 B/token = 34 KiB, so the 401,408 pool is 13,328.00 MiB — the
|
||||
# ledger said exactly that. f16 would bill 25,088 MiB and the boot DIES:
|
||||
# `cudaMalloc failed: out of memory` on the 25,088.00 MiB request, engine fit
|
||||
# projection 33,198 vs 23,558 free. The 48 DeltaNet layers bill a fixed
|
||||
# recurrent state per SLOT — ~150 MiB each (context 13,627 − KV 13,328 = 299
|
||||
# for two slots), which is why pool arithmetic alone under-prices the shape.
|
||||
# KV law (header + boot ledger, both confirmed): qwen35 hybrid, 32 layers with
|
||||
# qwen35.full_attention_interval = 4 ⇒ 8 full-attention + 24 Gated DeltaNet;
|
||||
# 4 KV heads × 256 dim = 8,192 elements per token per cache. q8_0 bills 8,704 B
|
||||
# per cache ⇒ 17,408 B/token = 17 KiB, so the 786,432 pool is 13,056.00 MiB —
|
||||
# the ledger said exactly that. HALF the 27B's 34,816 B/token, which is the
|
||||
# whole reason three native windows fit. f16 would bill 26,112 MiB at this pool
|
||||
# (against a 24,123 MiB card) and dies at cudaMalloc; the 24 DeltaNet layers
|
||||
# bill a fixed recurrent state per SLOT instead of per token — the ledger's
|
||||
# "RS buffer size = 452.25 MiB (3 cells, 32 layers, 3 seqs)" = 150.75 MiB a
|
||||
# slot — which is why pool arithmetic alone under-prices the shape.
|
||||
CACHE_TYPE_K=q8_0
|
||||
CACHE_TYPE_V=q8_0
|
||||
# Boot ledger (2026-10-17, this exact shape, nvidia-smi settled):
|
||||
# 22,664 MiB used / 1,461 MiB free of 24,123
|
||||
# fit projection 21,439 = 6,539 model + 13,627 context + 1,272 compute
|
||||
# the mtmd projector's 873.10 MiB worst-case is NOT inside that projection —
|
||||
# it lands after the fit check, which is the whole difference between
|
||||
# "2.6 GiB free on paper" and 1.4 GiB free in reality. Watch it.
|
||||
# Fallback rung if the margin is ever eaten (desktop, co-tenant): q4_0 KV
|
||||
# measured 16,392 used / 7,733 free at the same 2 × 200,704.
|
||||
# 1024 is the ubatch fallback (−616 MiB, measured on the 9B predecessor at
|
||||
# this card/arch; 2048 was the measured CUDA optimum, +4.6 % prefill).
|
||||
# SPECULATIVE DECODING: OFF, MEASURED. The head is in the file and the drafter
|
||||
# is GOOD (acceptance 0.798/0.617 per position, mean accepted length 2.41) — it
|
||||
# still loses, because the draft context bills its OWN f16 KV over the WHOLE
|
||||
# pool: 4,096 B/position × 786,432 = 3,072.00 MiB, plus its compute buffers,
|
||||
# 4,830 MiB all told. Booted arms, same card, same traffic (2026-10-18):
|
||||
# 3 × 262,144 spec OFF ub 2048 → 17,876 used / 6,249 free, decode 167.2 t/s
|
||||
# 3 × 262,144 spec ON ub 2048 → 22,706 used / 1,419 free, decode 109.2 t/s
|
||||
# 3 × 262,144 spec ON ub 1024 → 21,400 used / 2,725 free, decode 213.5 t/s
|
||||
# 2 × 262,144 spec ON ub 2048 → 17,178 used / 6,947 free, decode 213.2 t/s
|
||||
# 1 × 262,144 spec ON ub 2048 → 11,652 used / 12,473 free, decode 214.2 t/s
|
||||
# i.e. MTP is worth +28 % decode whenever the card has room, and at the 3-slot
|
||||
# pool it costs 1.3 GiB of compute buffers that ubatch 2048 refuses to give up —
|
||||
# the squeeze, not the drafter, is what halves decode. The arm that WOULD run
|
||||
# MTP at three windows is SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024 (decode 213.5,
|
||||
# 3-stream 250.8 aggregate) and pays prefill −17 % and 2.7 GiB of headroom on a
|
||||
# card whose projector worst-case lands after the fit check. This endpoint's
|
||||
# load is the fleet's COMPACTION HUB (prefill-bound, ~170k in) plus 2-3
|
||||
# concurrent subagents, so the deployed arm takes the +17 % prefill
|
||||
# (2,877 vs 2,395 t/s at 106,418 tokens) and the +12 % three-stream aggregate
|
||||
# (280.2 vs 250.8) over single-stream speed, and keeps 6.2 GiB free.
|
||||
# SPEC_TYPE=none strips the WHOLE spec set (--spec-type, every --spec-draft-*):
|
||||
# flags move as a set or the arm measures a crash instead of an absence.
|
||||
SPEC_TYPE=none
|
||||
SPEC_DRAFT_N_MAX=2
|
||||
SPEC_DRAFT_N_MIN=0
|
||||
SPEC_DRAFT_P_MIN=0
|
||||
# The card's sampler recipe lives in the checkpoint (general.sampling.* = temp
|
||||
# 1.0 / top_p 0.95 / top_k 20 / min_p 0 / repeat_penalty 1.0 — confirmed in the
|
||||
# engine's own /props defaults) and llama.cpp reads it itself. Presence penalty
|
||||
# is the ONE recipe value with no GGUF metadata key, so it must reach the argv.
|
||||
# PRESENCE_PENALTY="" is the documented opt-out.
|
||||
PRESENCE_PENALTY=1.0
|
||||
NGL=99
|
||||
# Boot ledger (2026-10-18, this exact shape, nvidia-smi settled):
|
||||
# 17,876 MiB used / 6,249 MiB free of 24,123
|
||||
# CUDA0 KV 13,056.00 MiB (q8_0 K + q8_0 V, 786,432 positions)
|
||||
# CUDA0 RS 452.25 MiB (3 recurrent-state cells)
|
||||
# compute 1,409 MiB CUDA + 1,201 MiB CUDA_Host, projector 595 + 248 MiB
|
||||
# no clamp line, no cudaMalloc error
|
||||
# Measured on the same boot: 167.2 t/s greedy decode (/completion, 512 tokens),
|
||||
# 158.9 t/s single-stream chat, 280.2 t/s aggregate across THREE concurrent
|
||||
# streams (93.8 each), 2,877 t/s prefill at 106,418 tokens. The 27B record it
|
||||
# replaces: 76.6 decode, 109.4 aggregate across two streams, 691.7 prefill at
|
||||
# 166k — beaten on every axis. The FIRST request after a boot is a warmup
|
||||
# artifact (37.7 t/s class); never report it.
|
||||
# Fallback rung if the margin is ever eaten (desktop, co-tenant): q4_0 KV on the
|
||||
# 27B era measured 16,392 used / 7,733 free at 2 × 200,704; the same drop here
|
||||
# frees ~6.5 GiB at three windows. UBATCH_SIZE=1024 is the cheaper lever
|
||||
# (−1,306 MiB measured on this shape).
|
||||
# Log verbosity threshold (llama.cpp -lv). 4 = debug: KV layout, buffer sizes
|
||||
# and graph capture land in the journal, which is what the VRAM-fit forensics
|
||||
# read. Levels above 4 flood the journal.
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
[Unit]
|
||||
Description=llama.cpp (PrismML build 10754) Ternary-Bonsai-2-27B PQ2_0 GGUF (qwen35 hybrid, 2x200704 slots, q8_0 K+V, MTP off, mmproj vision) on the RTX 3090 (dankclaw, frank-zealot)
|
||||
Description=llama.cpp (PrismML build 10777) Ternary-Bonsai-2-9B PQ2_0-MTP GGUF (qwen35 hybrid, 3x262144 slots over one 786432 pool, q8_0 K+V, MTP off, mmproj Q8_0 vision) on the RTX 3090 (dankclaw, frank-zealot)
|
||||
After=network-online.target
|
||||
Wants=network-online.target
|
||||
|
||||
@@ -12,6 +12,13 @@ Group=dank
|
||||
LimitMEMLOCK=infinity
|
||||
Environment="FRANK_ZEALOT_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-zealot.env"
|
||||
ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-zealot.sh
|
||||
# llama.cpp can take longer than systemd's 90 s default to drain slots and
|
||||
# release the card: a real stop on 2026-10-18 hit `State 'stop-sigterm' timed
|
||||
# out. Killing.` and left the unit in `failed` (result 'timeout') even though
|
||||
# the process had served health correctly. The engine is SIGKILL-safe (nothing
|
||||
# on disk), but a unit that always ends `failed` is a false alarm for the next
|
||||
# operator, so give the drain room.
|
||||
TimeoutStopSec=180
|
||||
Restart=on-failure
|
||||
RestartSec=10
|
||||
|
||||
|
||||
@@ -1,30 +1,42 @@
|
||||
#!/usr/bin/env bash
|
||||
# Serve prism-ml/Ternary-Bonsai-2-27B (PQ2_0 ternary quant) as frank-zealot on
|
||||
# Dankclaw's RTX 3090 via llama.cpp (PrismML vendor build 10754, CUDA sm_86).
|
||||
# Serve prism-ml/Ternary-Bonsai-2-9B-gguf (PQ2_0 ternary quant WITH the MTP head
|
||||
# in the file) as frank-zealot on Dankclaw's RTX 3090 via llama.cpp (PrismML
|
||||
# vendor build 10777, CUDA sm_86).
|
||||
#
|
||||
# 2026-10-17 (Frank): Bonsai-2 PQ2_0 swap at TWO 200,704-token conversations
|
||||
# (--ctx-size 401408 --parallel 2) with q8_0 K + q8_0 V — f16 KV does not fit
|
||||
# this geometry: the engine's own fit projected 33,198 MiB against 23,558 free
|
||||
# and cudaMalloc failed on the 25,088 MiB pool. MTP stays off: this GGUF
|
||||
# carries no MTP tensors (verified from its tensor-name list). Verbosity 4
|
||||
# ships so the VRAM-fit forensics (KV layout, buffer sizes, graph capture)
|
||||
# land in the journal.
|
||||
# 2026-10-18 (Frank): Bonsai-2 27B PQ2_0 → the 9B MTP export at THREE
|
||||
# 262,144-token conversations (--ctx-size 786432 --parallel 3), q8_0 K + q8_0 V.
|
||||
# The 9B bills 17,408 B/token against the 27B's 34,816 (8 full-attention layers
|
||||
# instead of 16), and that halved rate is what funds three NATIVE windows where
|
||||
# the 27B could only afford two cut to 200,704. Verbosity 4 ships so the
|
||||
# VRAM-fit forensics (KV layout, buffer sizes, graph capture) land in the
|
||||
# journal.
|
||||
#
|
||||
# Architecture: qwen35 — 27B, 64 blocks with full_attention_interval 4 (16
|
||||
# full-attention layers + 48 Gated DeltaNet linear layers), 24 heads / 4 KV
|
||||
# heads × 256 dim, native 262,144, vocab 248,320. The KV pool scales with the
|
||||
# 16 full layers: 34 KiB/token at q8_0 K + q8_0 V (13,328 MiB at the 401,408
|
||||
# pool); the DeltaNet layers cost a fixed recurrent state per SLOT (~150 MiB —
|
||||
# boot-ledger context minus KV). Boot ledger: 22,664 used / 1,461 free, with
|
||||
# the Q8_0 projector's 873 MiB landing AFTER the engine's fit projection.
|
||||
# The runtime is a hard lock, not a preference: the file carries 402 tensors
|
||||
# of custom GGML type 142 plus prism.hadamard.* metadata, which only the
|
||||
# vendor build registers — stock llama.cpp refuses it at load.
|
||||
# Vision comes from the publisher's Q8_0 projector, so --mmproj is what gives
|
||||
# this endpoint eyes; MMPROJ_FILE="" is the documented text-only opt-out.
|
||||
# Architecture (engine ledger, not the marketing page): qwen35 hybrid, 32
|
||||
# layers with qwen35.full_attention_interval = 4 ⇒ 8 full-attention + 24 Gated
|
||||
# DeltaNet, 4 KV heads × 256 dim, native 262,144. The KV pool scales with the 8
|
||||
# full layers (13,056.00 MiB at the 786,432 pool, ledger-exact); the DeltaNet
|
||||
# layers cost a fixed recurrent state per SLOT — 452.25 MiB for 3 cells, ~151
|
||||
# MiB each. The runtime is a hard lock, not a preference: custom GGML type 142
|
||||
# plus prism.hadamard.* metadata, which only the vendor build registers, and
|
||||
# MTP beside quantized V needs build ≥ b10776 — so the prebuilt moved 10754 →
|
||||
# 10777 with the payload. Vision comes from the publisher's Q8_0 projector (the
|
||||
# BF16 one can crash the server on concurrent images, and this endpoint runs
|
||||
# three slots), so --mmproj is what gives this endpoint eyes; MMPROJ_FILE="" is
|
||||
# the documented text-only opt-out.
|
||||
#
|
||||
# Sampling: llama.cpp takes it per request (the fleet harness sends the file's
|
||||
# own template defaults from models.yml: thinking temp 1.0 / top_p 0.95 / top_k 20).
|
||||
# Speculative decoding ships OFF, measured: the head loads and accepts well
|
||||
# (0.798/0.617 per position, mean length 2.41) but the draft context bills its
|
||||
# own f16 KV over the WHOLE pool — 4,096 B/position × 786,432 = 3,072 MiB plus
|
||||
# buffers — and at ubatch 2048 that squeeze HALVES decode (167.2 → 109.2 t/s).
|
||||
# frank-zealot.env carries the six-arm table and the arm that turns it back on
|
||||
# (--ubatch-size 1024, decode 213.5 t/s) with its price.
|
||||
#
|
||||
# Sampling: the checkpoint carries the publisher's thinking recipe as GGUF
|
||||
# metadata (general.sampling.* = temp 1.0 / top_p 0.95 / top_k 20 / min_p 0 /
|
||||
# repeat_penalty 1.0 — confirmed in the engine's own /props defaults) and
|
||||
# llama.cpp reads it; --presence-penalty is the one recipe value with no
|
||||
# metadata key, so this script passes it. A request may still override per call
|
||||
# (the fleet harness sends the same values).
|
||||
#
|
||||
# Tunables come from frank-zealot.env unless FRANK_ZEALOT_ENV_FILE overrides.
|
||||
set -euo pipefail
|
||||
@@ -39,45 +51,62 @@ if [[ -f "$ENV_FILE" ]]; then
|
||||
fi
|
||||
|
||||
# --- defaults (used when the env file does not set them) -------------------
|
||||
: "${LLAMA_BIN:=/home/dank/GitPackages/llama-prism/llama-server}"
|
||||
: "${MODEL_FILE:=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-PQ2_0.gguf}"
|
||||
: "${LLAMA_BIN:=/home/dank/GitPackages/llama-prism-b10777/llama-server}"
|
||||
: "${MODEL_FILE:=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-PQ2_0-MTP-Q8_0.gguf}"
|
||||
: "${ALIAS:=frank-zealot}"
|
||||
: "${BIND_ADDR:=0.0.0.0}"
|
||||
: "${LISTEN_PORT:=7771}"
|
||||
# ctx-size is the POOL llama.cpp divides across slots: 401,408 / 2 = 200,704
|
||||
# per conversation, inside the model's trained 262,144. The harness
|
||||
# ctx-size is the POOL llama.cpp divides across slots: 786,432 / 3 = 262,144
|
||||
# per conversation — every slot at the model's trained window. The harness
|
||||
# contextWindow MUST quote the PER-SLOT number — a longer prompt is answered
|
||||
# with a 400, never truncated.
|
||||
: "${CTX_SIZE:=401408}"
|
||||
: "${PARALLEL:=2}"
|
||||
: "${CTX_SIZE:=786432}"
|
||||
: "${PARALLEL:=3}"
|
||||
# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves).
|
||||
# 2048 is the measured CUDA optimum (MiMo era, same arch/shape: +4.6 % prefill
|
||||
# at 8.9k depth, decode flat, 616 MiB). The logical batch is VRAM- and
|
||||
# throughput-neutral at a fixed ubatch.
|
||||
# throughput-neutral at a fixed ubatch. It ALSO sets the compute-buffer size,
|
||||
# which is the term that decides whether an MTP draft context fits beside a
|
||||
# 786,432-position pool: 1024 hands back 1,306 MiB and is the arm that runs the
|
||||
# drafter at three slots (frank-zealot.env carries the table).
|
||||
: "${BATCH_SIZE:=4096}"
|
||||
: "${UBATCH_SIZE:=2048}"
|
||||
# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 2 × 200,704 on this
|
||||
# card. 34 KiB/token at this geometry (16 full-attention layers × 4 KV heads ×
|
||||
# 256 dim); 13,328 MiB at the 401,408 pool. f16 measured OOM; q4_0 is the
|
||||
# fallback rung (16,392 used / 7,733 free). Explicit either way so the contract
|
||||
# is visible in the argv, and --flash-attn stays required for quantized V
|
||||
# (no true fp8 KV dtype exists in this build).
|
||||
# Quantized KV: q8_0 K + q8_0 V — the only pair that funds 3 × 262,144 on this
|
||||
# card. 17 KiB/token at this geometry (8 full-attention layers × 4 KV heads ×
|
||||
# 256 dim); 13,056.00 MiB at the 786,432 pool, ledger-exact. f16 would bill
|
||||
# 26,112 MiB against a 24,123 MiB card and dies at cudaMalloc; q4_0 is the
|
||||
# fallback rung. Explicit either way so the contract is visible in the argv,
|
||||
# and --flash-attn stays required for quantized V (no true fp8 KV dtype exists
|
||||
# in this build).
|
||||
: "${CACHE_TYPE_K:=q8_0}"
|
||||
: "${CACHE_TYPE_V:=q8_0}"
|
||||
# Speculative decoding is OFF: this PQ2_0 file carries NO nextn/mtp tensors, so
|
||||
# there is no in-file head (the law: MTP is a property of the file, not of the
|
||||
# flags). SPEC_TYPE=none strips BOTH speculative flags (flags move as a set);
|
||||
# an MTP-bearing CRACK re-export exists upstream (ManniX-ITA, +451 MB) if
|
||||
# decode ever needs it — that is a new payload with its own VRAM bill, never a
|
||||
# flag flip on this file.
|
||||
# Speculative decoding defaults OFF, measured on this card and shape: the head
|
||||
# IS in the checkpoint (qwen35.nextn_predict_layers = 1 — MTP is a property of
|
||||
# the FILE, so the plain PQ2_0 sibling could not run it at any flag value), it
|
||||
# loads, and it accepts well (mean accepted length 2.41) — but the draft context
|
||||
# bills its own f16 KV over the WHOLE pool (4,096 B/position, 3,072 MiB here)
|
||||
# and at ubatch 2048 that squeeze halves decode: 167.2 → 109.2 t/s. There is no
|
||||
# --spec-draft-cache-type knob in this build to make the draft cheap, and no
|
||||
# --spec-draft-model either: the draft rides the main model's weights. Card gate:
|
||||
# quantized V alongside MTP needs fork build >= prism-b10776, which is why
|
||||
# LLAMA_BIN moved to the 10777 prebuilt; on an older build the pair is illegal.
|
||||
# SPEC_TYPE=draft-mtp + UBATCH_SIZE=1024 is the documented MTP arm (213.5 t/s);
|
||||
# SPEC_TYPE=none strips the whole set (flags move together).
|
||||
: "${SPEC_TYPE:=none}"
|
||||
: "${SPEC_DRAFT_N_MAX:=3}"
|
||||
: "${SPEC_DRAFT_N_MAX:=2}"
|
||||
: "${SPEC_DRAFT_N_MIN:=0}"
|
||||
: "${SPEC_DRAFT_P_MIN:=0}"
|
||||
: "${SPEC_DRAFT_FILE:=}"
|
||||
# No colon on purpose, same convention as MMPROJ_FILE: an explicitly empty
|
||||
# PRESENCE_PENALTY is the documented opt-out and must NOT be replaced by the
|
||||
# default (a colon treats null as unset and would silently re-add the flag).
|
||||
: "${PRESENCE_PENALTY=1.0}"
|
||||
: "${NGL:=99}"
|
||||
# Log verbosity threshold (llama.cpp -lv). 3 is the engine default (info);
|
||||
# 4 adds debug detail (KV layout, buffer sizes, graph capture) which is what
|
||||
# the VRAM-fit forensics need. Levels above 4 flood the journal.
|
||||
: "${VERBOSITY:=3}"
|
||||
# the VRAM-fit forensics need — the q8_0 KV contract and the draft-KV bill are
|
||||
# only provable from this log. Levels above 4 flood the journal.
|
||||
: "${VERBOSITY:=4}"
|
||||
# /metrics needs the flag: llama.cpp returns 501 unless the server starts with
|
||||
# --metrics, and Dankclaw's Prometheus scrapes every fleet endpoint's /metrics —
|
||||
# a 501 reads as DOWN, which is how the critical LlmEndpointDown alert ended up
|
||||
@@ -89,7 +118,7 @@ fi
|
||||
: "${METRICS:=1}"
|
||||
# Vision projector. No colon on purpose: an explicitly empty value means
|
||||
# "text-only, on purpose" and must NOT be replaced by the default path.
|
||||
: "${MMPROJ_FILE=/home/dank/models/Bonsai2-PQ2_0/Ternary-Bonsai-2-27B-mmproj-Q8_0.gguf}"
|
||||
: "${MMPROJ_FILE=/home/dank/models/Bonsai2-9B-MTP/Ternary-Bonsai-2-9B-mmproj-Q8_0.gguf}"
|
||||
|
||||
# Fail loudly rather than half-loading: a missing file is a download that
|
||||
# has not finished, and Restart=always would turn it into a crash loop that
|
||||
@@ -109,15 +138,31 @@ if [[ "$METRICS" = "1" ]]; then
|
||||
EXTRA_ARGS+=(--metrics)
|
||||
fi
|
||||
|
||||
# Speculative flags move as a set: they reach the argv ONLY when a drafter
|
||||
# is named. SPEC_TYPE=none (the shipped contract) strips both — a no-spec
|
||||
# baseline must not carry half a spec pair.
|
||||
# Speculative flags move as a SET: they reach the argv ONLY when a drafter is
|
||||
# named, and all of them together — a no-spec baseline must not carry half a
|
||||
# spec pair. n-max 2 / n-min 0 / p-min 0 is the publisher's recipe ("Draft depth
|
||||
# 2 works best"); the MTP head is IN the checkpoint (blk.32.nextn.*,
|
||||
# qwen35.nextn_predict_layers = 1), so there is no --spec-draft-model here and
|
||||
# the draft context rides the MAIN model's weights.
|
||||
if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
|
||||
EXTRA_ARGS+=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
|
||||
if [[ -n "$SPEC_DRAFT_FILE" ]]; then
|
||||
[[ -e "$SPEC_DRAFT_FILE" ]] || { echo "frank-zealot: missing $SPEC_DRAFT_FILE" >&2; exit 1; }
|
||||
EXTRA_ARGS+=(--spec-draft-model "$SPEC_DRAFT_FILE")
|
||||
EXTRA_ARGS+=(--spec-type "$SPEC_TYPE"
|
||||
--spec-draft-n-max "$SPEC_DRAFT_N_MAX"
|
||||
--spec-draft-n-min "$SPEC_DRAFT_N_MIN"
|
||||
--spec-draft-p-min "$SPEC_DRAFT_P_MIN")
|
||||
if [[ -n "$SPEC_DRAFT_FILE" ]]; then
|
||||
[[ -e "$SPEC_DRAFT_FILE" ]] || { echo "frank-zealot: missing $SPEC_DRAFT_FILE" >&2; exit 1; }
|
||||
EXTRA_ARGS+=(--spec-draft-model "$SPEC_DRAFT_FILE")
|
||||
fi
|
||||
fi
|
||||
|
||||
# The card's sampler recipe lives partly in the checkpoint: general.sampling.*
|
||||
# (temp 1.0 / top_p 0.95 / top_k 20 / min_p 0 / repeat_penalty 1.0) is read by
|
||||
# llama.cpp itself, and --repeat-last-n already defaults to 64. Presence penalty
|
||||
# is the ONE value with no GGUF metadata key — the card says so explicitly — so
|
||||
# it is the one knob that must reach the argv or the recipe is silently
|
||||
# incomplete. PRESENCE_PENALTY="" is the documented opt-out.
|
||||
if [[ -n "$PRESENCE_PENALTY" ]]; then
|
||||
EXTRA_ARGS+=(--presence-penalty "$PRESENCE_PENALTY")
|
||||
fi
|
||||
|
||||
# The UVM device node is created lazily by nvidia-modprobe on the first CUDA
|
||||
|
||||
Reference in New Issue
Block a user