#!/usr/bin/env bash # Serve ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp as frank-small on Dankclaw's # RTX 3090 via mainline llama.cpp. # # Topology: the whole model lives in VRAM (-ngl 999) -- 11.29 GiB of IQ3_S-mtp # weights, 0.87 GiB of BF16 vision projector and ~8 GiB of f16 KV inside the # card's 24 GiB. The host CPU only tokenizes and samples here; this box's CPU # belongs to the halogen engine that serves frank-large. # # MTP: the `-mtp` build carries the NextN block (blk.64.nextn.*), and # `--spec-type draft-mtp` makes llama.cpp load it and run the draft context on # the SAME weights. There is no --model-draft here on purpose: a separate draft # path would load a second 12 GB copy of a 12 GB model. Draft depth is # llama.cpp's default (--spec-draft-n-max 3). # # Vision: --mmproj loads the BF16 projector, so image content parts work. The # fleet's image path moved here from frank-large on 2026-09-16, which is why # halogen no longer sets HALOGEN_VISION_TOWER. # # Sampling: greedy by default (the fleet contract). Clients that send their own # temperature get their own values, and the harness overrides per model from # models.yml. --jinja is pinned even though this build defaults it on: the # model's own template supplies reasoning_effort, preserve_thinking and the # tool-call grammar, and a future build that flips that default must not # silently take tools away. # # Tunables come from frank-small.env unless FRANK_SMALL_ENV_FILE overrides it. set -euo pipefail SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)" ENV_FILE="${FRANK_SMALL_ENV_FILE:-$SCRIPT_DIR/frank-small.env}" if [[ -f "$ENV_FILE" ]]; then set -a # shellcheck disable=SC1090 source "$ENV_FILE" set +a fi # --- defaults (used when the env file does not set them) ------------------- : "${LLAMA_BIN:=/home/dank/GitPackages/llama.cpp-mainline/build-cuda/bin/llama-server}" : "${MODEL_DIR:=/home/dank/models/Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp}" : "${MODEL_FILE:=Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf}" : "${MMPROJ_PATH:=$MODEL_DIR/mmproj-Qwen3.8-27B-BF16.gguf}" : "${ALIAS:=frank-small}" : "${BIND_ADDR:=0.0.0.0}" : "${LISTEN_PORT:=7771}" : "${CTX_SIZE:=131072}" : "${PARALLEL:=1}" : "${CACHE_TYPE_K:=f16}" : "${CACHE_TYPE_V:=f16}" : "${BATCH_SIZE:=2048}" : "${UBATCH_SIZE:=512}" : "${NUM_THREADS:=8}" : "${THREAD_BATCH:=8}" : "${NGL:=999}" : "${FLASH_ATTN:=on}" : "${SPEC_TYPE:=draft-mtp}" : "${TEMPERATURE:=0.0}" : "${REASONING_FORMAT:=deepseek}" : "${REASONING_BUDGET:=-1}" # Fail loudly rather than half-loading a model into VRAM: a missing file here # is a download that has not finished, and the unit's restart policy would # otherwise turn that into a crash loop that reads like a runtime fault. for path in "$LLAMA_BIN" "$MODEL_DIR/$MODEL_FILE" "$MMPROJ_PATH"; do [[ -e "$path" ]] || { echo "frank-small: missing $path" >&2; exit 1; } done # The UVM device node is created lazily by nvidia-modprobe on the first CUDA # open after boot; make sure it exists before the server needs it. nvidia-modprobe -u -c=0 2>/dev/null || true MMPROJ_ARGS=() if [[ -n "${MMPROJ_PATH:-}" && -f "$MMPROJ_PATH" ]]; then MMPROJ_ARGS=(--mmproj "$MMPROJ_PATH") fi SPEC_ARGS=() if [[ -n "${SPEC_TYPE:-}" && "$SPEC_TYPE" != "none" ]]; then SPEC_ARGS=(--spec-type "$SPEC_TYPE") fi exec "$LLAMA_BIN" \ --model "$MODEL_DIR/$MODEL_FILE" \ "${MMPROJ_ARGS[@]}" \ --alias "$ALIAS" \ --host "$BIND_ADDR" \ --port "$LISTEN_PORT" \ --gpu-layers "$NGL" \ --flash-attn "$FLASH_ATTN" \ --ctx-size "$CTX_SIZE" \ --parallel "$PARALLEL" \ --batch-size "$BATCH_SIZE" \ --ubatch-size "$UBATCH_SIZE" \ --threads "$NUM_THREADS" \ --threads-batch "$THREAD_BATCH" \ --cache-type-k "$CACHE_TYPE_K" \ --cache-type-v "$CACHE_TYPE_V" \ "${SPEC_ARGS[@]}" \ --jinja \ --metrics \ --temp "$TEMPERATURE" \ --reasoning-format "$REASONING_FORMAT" \ --reasoning-budget "$REASONING_BUDGET"