Files
serverAppConfigs/scripts/serve-frank-medium.sh
T
Frank 7e11d247a8 frank-medium: swap the drafter to magnitudedev/Qwen3.8-27B-DSpark
DSpark (Q8_0, 1.27 GiB) replaces z-lab DFlash2 (1.92 GiB): same 5-layer
block-diffusion shape, Markov head instead of the candidate selector, and
block_size 7, so the draft depth drops 7 -> 6 (llama.cpp asserts
n_max <= block_size - 1).

The serve script's dspark branch never passed --spec-draft-model (only the
dflash branch did), so dspark was not deployable as written; the model file
gate now covers both types. Download script, env and the unit seam track the
new file and its exact byte count.
2026-09-16 19:34:00 -07:00

195 lines
6.8 KiB
Bash
Executable File

#!/usr/bin/env bash
# Serve ajgazin/Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF @ UD-Q8_K_XL as
# frank-medium on Dankserver's two Radeon AI PRO R9700 (gfx1201), with the
# magnitudedev DSpark block-diffusion drafter, using mainline llama.cpp.
#
# Runtime: llama.cpp master fb27a525 (2026-09-16), a gfx1201 HIP build that
# bundles its own ROCm 7.14 runtime (RPATH $ORIGIN/../lib), produced by
# scripts/build-llama-rdna4.sh. Two features pin that ref: DFlash2
# (ggml-org/llama.cpp#27342) and qwen35 MTP. The charlie12345/ROCmFPX fork
# this deployment replaced has neither (its tip is c49ebdb, 2026-08-22).
#
# Parallelism: --split-mode layer across both cards. Tensor split would need a
# cross-card allreduce and this host cannot dispatch one -- RCCL's kernels
# require a hostcall buffer that ROCr refuses on a card without PCIe atomics,
# and the second R9700 sits behind the chipset (AtomicOpsCap: Routing-). Layer
# split crosses the wire once per forward pass instead of once per layer.
#
# The vLLM replica pair and its routing proxy were retired with this cutover:
# one process, one model, both cards.
#
# Tunables come from frank-medium.env unless FRANK_MEDIUM_ENV_FILE overrides it.
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
ENV_FILE="${FRANK_MEDIUM_ENV_FILE:-$SCRIPT_DIR/frank-medium.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) ------------------
: "${LLAMA_BIN:=/home/dank/GitPackages/llama.cpp-dflash2/build-rdna4-rocm714/bin/llama-server}"
: "${MODEL_DIR:=/home/dank/models/Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF}"
: "${MODEL_FILE:=Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf}"
: "${DRAFT_MODEL_DIR:=/home/dank/models/Qwen3.8-27B-DFlash2-GGUF}"
: "${DRAFT_MODEL_FILE:=Qwen3.8-27B-DFlash2-Q8_0.gguf}"
: "${ALIAS:=frank-medium}"
: "${BIND_ADDR:=0.0.0.0}"
: "${LISTEN_PORT:=7770}"
# Devices. HIP_VISIBLE_DEVICES hides the Raphael iGPU (HIP device 2) so nothing
# can drift onto shared system RAM; DEVICES is what llama.cpp splits across.
: "${HIP_VISIBLE_DEVICES:=0,1}"
: "${DEVICES:=ROCm0,ROCm1}"
: "${SPLIT_MODE:=layer}"
: "${TENSOR_SPLIT:=1,1}"
: "${NGL:=999}"
: "${FIT:=off}"
: "${FLASH_ATTN:=on}"
: "${CTX_SIZE:=131072}"
: "${PARALLEL:=1}"
: "${BATCH_SIZE:=2048}"
: "${UBATCH_SIZE:=512}"
: "${NUM_THREADS:=8}"
: "${THREAD_BATCH:=8}"
: "${CACHE_TYPE_K:=f16}"
: "${CACHE_TYPE_V:=f16}"
: "${CTX_CHECKPOINTS:=8}"
: "${CACHE_RAM:=8192}"
# Sampling defaults for silent clients: the values the vLLM predecessor served.
: "${TEMPERATURE:=0.7}"
: "${TOP_P:=0.95}"
: "${TOP_K:=20}"
: "${MIN_P:=0.0}"
: "${PRESENCE_PENALTY:=0.0}"
: "${REASONING:=on}"
: "${REASONING_FORMAT:=deepseek}"
: "${REASONING_BUDGET:=-1}"
: "${CHAT_TEMPLATE_FILE:=}"
: "${CHAT_TEMPLATE_KWARGS:={\"enable_thinking\":true,\"preserve_thinking\":true}}"
# Speculative decoding: draft-dflash (the DFlash2 drafter is a file, not a
# flag) or draft-mtp (the target GGUF's own MTP head -- no draft file).
: "${SPEC_TYPE:=draft-dflash}"
: "${SPEC_DRAFT_N_MAX:=7}"
: "${SPEC_DRAFT_N_MIN:=0}"
: "${SPEC_DRAFT_P_MIN:=0.0}"
: "${SPEC_DRAFT_P_SPLIT:=0.10}"
: "${SPEC_DRAFT_NGL:=999}"
: "${SPEC_DRAFT_DEVICE:=}"
: "${SPEC_DRAFT_TYPE_K:=f16}"
: "${SPEC_DRAFT_TYPE_V:=f16}"
: "${SPEC_DRAFT_POLL:=1}"
: "${SPEC_DRAFT_POLL_BATCH:=1}"
: "${SPEC_NGRAM_N_MATCH:=24}"
: "${SPEC_NGRAM_N_MIN:=48}"
: "${SPEC_NGRAM_N_MAX:=64}"
NO_MMPROJ="${NO_MMPROJ:-1}"
export HIP_VISIBLE_DEVICES
MODEL="$MODEL_DIR/$MODEL_FILE"
DRAFT_MODEL="$DRAFT_MODEL_DIR/$DRAFT_MODEL_FILE"
if [[ ! -x "$LLAMA_BIN" ]]; then
echo "missing executable runtime: $LLAMA_BIN" >&2
echo "build it with: bash $SCRIPT_DIR/build-llama-rdna4.sh" >&2
exit 1
fi
if [[ ! -r "$MODEL" ]]; then
echo "missing or unreadable target model: $MODEL" >&2
echo "fetch it with: bash $SCRIPT_DIR/download-frank-medium-gguf.sh" >&2
exit 1
fi
if [[ -n "$CHAT_TEMPLATE_FILE" && ! -r "$CHAT_TEMPLATE_FILE" ]]; then
echo "missing or unreadable chat template: $CHAT_TEMPLATE_FILE" >&2
exit 1
fi
# --- speculative decoding -------------------------------------------------
SPEC_ARGS=()
if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
SPEC_ARGS=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
if [[ "$SPEC_TYPE" == *dflash* || "$SPEC_TYPE" == *dspark* ]]; then
if [[ ! -r "$DRAFT_MODEL" ]]; then
echo "missing or unreadable draft model: $DRAFT_MODEL" >&2
exit 1
fi
SPEC_ARGS+=(
--spec-draft-model "$DRAFT_MODEL"
--spec-draft-ngl "$SPEC_DRAFT_NGL"
--spec-draft-type-k "$SPEC_DRAFT_TYPE_K"
--spec-draft-type-v "$SPEC_DRAFT_TYPE_V"
)
fi
if [[ "$SPEC_TYPE" == *dspark* || ( "$SPEC_DRAFT_P_MIN" != "0.0" && "$SPEC_DRAFT_P_MIN" != "0" ) ]]; then
SPEC_ARGS+=(--spec-draft-n-min "$SPEC_DRAFT_N_MIN" --spec-draft-p-min "$SPEC_DRAFT_P_MIN")
fi
# ngram-mod is draftless: it needs no draft context and its window is its
# own (--spec-ngram-mod-*), so it can ride in the chain beside a model
# drafter. It also costs no VRAM -- a CPU hash table.
if [[ "$SPEC_TYPE" == *ngram* ]]; then
SPEC_ARGS+=(
--spec-ngram-mod-n-match "$SPEC_NGRAM_N_MATCH"
--spec-ngram-mod-n-min "$SPEC_NGRAM_N_MIN"
--spec-ngram-mod-n-max "$SPEC_NGRAM_N_MAX"
)
fi
if [[ -n "$SPEC_DRAFT_DEVICE" ]]; then
SPEC_ARGS+=(--spec-draft-device "$SPEC_DRAFT_DEVICE")
fi
fi
# --- template + placement -------------------------------------------------
TEMPLATE_ARGS=()
if [[ -n "$CHAT_TEMPLATE_FILE" ]]; then
TEMPLATE_ARGS+=(--chat-template-file "$CHAT_TEMPLATE_FILE")
fi
TEMPLATE_ARGS+=(--chat-template-kwargs "$CHAT_TEMPLATE_KWARGS")
PLACEMENT_ARGS=(--device "$DEVICES" --split-mode "$SPLIT_MODE" --tensor-split "$TENSOR_SPLIT")
MMPROJ_ARGS=()
[[ "$NO_MMPROJ" == "1" ]] && MMPROJ_ARGS=(--no-mmproj)
exec "$LLAMA_BIN" \
--model "$MODEL" \
--alias "$ALIAS" \
--host "$BIND_ADDR" \
--port "$LISTEN_PORT" \
--jinja \
--gpu-layers "$NGL" \
--fit "$FIT" \
--parallel "$PARALLEL" \
--ctx-size "$CTX_SIZE" \
--batch-size "$BATCH_SIZE" \
--ubatch-size "$UBATCH_SIZE" \
--flash-attn "$FLASH_ATTN" \
--cache-type-k "$CACHE_TYPE_K" \
--cache-type-v "$CACHE_TYPE_V" \
--threads "$NUM_THREADS" \
--threads-batch "$THREAD_BATCH" \
--ctx-checkpoints "$CTX_CHECKPOINTS" \
--cache-ram "$CACHE_RAM" \
--cache-prompt \
--metrics \
--temp "$TEMPERATURE" \
--top-p "$TOP_P" \
--top-k "$TOP_K" \
--min-p "$MIN_P" \
--presence-penalty "$PRESENCE_PENALTY" \
--reasoning "$REASONING" \
--reasoning-format "$REASONING_FORMAT" \
--reasoning-budget "$REASONING_BUDGET" \
"${TEMPLATE_ARGS[@]}" \
"${PLACEMENT_ARGS[@]}" \
"${MMPROJ_ARGS[@]}" \
"${SPEC_ARGS[@]}"