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Qwen 3.6 config example
#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")"
export CUDA_MALLOC_ASYNC_SUPPORTED=1
export GGML_CUDA_FORCE_MMQ=1
IMAGE="${IMAGE:-llama-turboquant:cuda}"
HOST_PORT="${HOST_PORT:-8080}"
NETWORK="${NETWORK:-runner-network}"
STATIC_IP="${STATIC_IP:-172.18.0.10}"
# 65 layers
MODEL_FILE="${MODEL_FILE:-Qwen3.6-27B-NVFP4-MTP.gguf}"
MMPROJ_FILE="${MMPROJ_FILE:-mmproj-Qwen3.6-27B-F16.gguf}"
N_GPU_LAYERS="${N_GPU_LAYERS:-999}"
NAME="${NAME:-llama-turboquant}"
if docker inspect "${NAME}" >/dev/null 2>&1; then
docker rm -f "${NAME}" >/dev/null
fi
docker create \
--name "${NAME}" \
--restart=unless-stopped \
--gpus all \
-e CUDA_DEVICE_ORDER=PCI_BUS_ID \
-e CUDA_VISIBLE_DEVICES=1,0 \
--memory=30g \
--memory-swap=46g \
--cap-add=IPC_LOCK \
--ulimit memlock=-1:-1 \
--ulimit core=0 \
-e TURBO_AUTO_ASYMMETRIC=0 \
-p "${HOST_PORT}:8080" \
--network "${NETWORK}" \
--ip "${STATIC_IP}" \
-v "$(pwd)/models:/models:ro" \
-v "$(pwd)/scripts:/scripts:ro" \
--entrypoint /scripts/entrypoint.sh \
"${IMAGE}" \
--model "/models/${MODEL_FILE}" \
--mmproj "/models/${MMPROJ_FILE}" \
--mmproj-offload \
--host 0.0.0.0 \
--port 8080 \
--metrics \
--n-gpu-layers "${N_GPU_LAYERS}" \
--main-gpu 0 \
--split-mode layer \
--tensor-split 40,25 \
-fit off \
--flash-attn on \
-c 120000 \
-n -1 \
--parallel 1 \
-ctk q8_0 \
-ctv turbo3 \
-ctkd q8_0 \
-ctvd turbo3 \
--kv-unified \
--no-mmap \
--mlock \
--jinja \
--reasoning off \
--spec-type draft-mtp,ngram-mod \
--spec-draft-n-max 3 \
--spec-ngram-mod-n-match 24 \
--spec-ngram-mod-n-min 4 \
--spec-ngram-mod-n-max 48 \
--temp 0.7 \
--top-p 0.8 \
--top-k 20 \
--min-p 0.0 \
--presence-penalty 1.5 \
--repeat-penalty 1.0 \
-b 1024 \
-ub 512 \
--cache-idle-slots \
--cache-ram 16384 \
--cache-reuse 256 \
--threads 8 \
--cpu-range 0-7 \
--timeout 360 \
"$@" >/dev/null
docker start -a "${NAME}"
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