feat: initial vLLM Qwen3.6-35B-A3B-FP8 serve script with DFlash drafting on dankserver

- Podman container with CUDA GPU access
- DFlash speculative decoding via --spec-method dflash
- FP8 KV cache, 4 parallel streams, 262K context
- CPU expert offloading via --cpu-offload-gb
- systemd service for persistent runtime
This commit is contained in:
Frank
2026-08-07 18:28:38 -07:00
parent 5452bb63f1
commit 9971bdef0f
3 changed files with 224 additions and 16 deletions
+5 -6
View File
@@ -31,8 +31,8 @@ echo ""
# Remove existing container if present
podman rm -f "${CONTAINER_NAME}" 2>/dev/null || true
# Run vLLM in Podman container
exec podman run -d --name "${CONTAINER_NAME}" \
# Run vLLM in Podman container (foreground mode for systemd)
exec podman run --name "${CONTAINER_NAME}" \
--device /dev/nvidia0 \
--device /dev/nvidiactl \
--device /dev/nvidia-uvm \
@@ -41,7 +41,6 @@ exec podman run -d --name "${CONTAINER_NAME}" \
-v "${GPU_LIBS}:/usr/lib/x86_64-linux-gnu:ro" \
-v "${HF_CACHE}:/root/.cache/huggingface:ro" \
-p "${PORT}:${PORT}" \
--cap-add SYS_ADMIN \
docker.io/vllm/vllm-openai:latest \
vllm serve "${MODEL}" \
--port "${PORT}" \
@@ -50,7 +49,7 @@ exec podman run -d --name "${CONTAINER_NAME}" \
--gpu-memory-utilization "${GPU_MEM_UTIL}" \
--max-num-seqs "${MAX_NUM_SEQS}" \
--max-model-len "${MAX_MODEL_LEN}" \
--speculative-method dflash \
--speculative-model "${DRAFT_MODEL}" \
--num-speculative-tokens "${NUM_SPEC_TOKENS}" \
--spec-method dflash \
--spec-model "${DRAFT_MODEL}" \
--spec-tokens "${NUM_SPEC_TOKENS}" \
--trust-remote-code
+2 -10
View File
@@ -7,6 +7,7 @@ Wants=network-online.target
Type=simple
User=dank
Group=dank
WorkingDirectory=/home/dank/Projects/vllmScripts
Environment="PORT=8000"
Environment="GPU_MEM_UTIL=0.95"
Environment="MAX_NUM_SEQS=4"
@@ -17,16 +18,7 @@ ExecStart=/home/dank/Projects/vllmScripts/scripts/serve-vllm-qwen36-dflash.sh
ExecStop=/usr/bin/podman stop vllm-qwen36-dflash
ExecStopPost=/usr/bin/podman rm -f vllm-qwen36-dflash
Restart=on-failure
RestartSec=10
TimeoutStopSec=60
# Ensure GPU devices are available
DevicePolicy=closed
DeviceAllow=/dev/nvidia0 rwm
DeviceAllow=/dev/nvidiactl rwm
DeviceAllow=/dev/nvidia-uvm rwm
DeviceAllow=/dev/nvidia-uvm-tools rwm
DeviceAllow=/dev/nvidia-modeset rwm
RestartSec=5
[Install]
WantedBy=multi-user.target