| # Launch vLLM server for Qwen/Qwen3-32B. | |
| # | |
| # Hardware: 2× L40S 48GB (TP=2), GPUs selectable via CUDA_VISIBLE_DEVICES. | |
| # Default port: 8002. Override with PORT env var. | |
| # | |
| # Key settings: | |
| # --tool-call-parser hermes — Qwen3-32B uses the Hermes tool schema | |
| # chat_template_kwargs enable_thinking=False — suppress reasoning prefix tokens; | |
| # Qwen3 is a hybrid reasoning model but we want action output only | |
| # tool_choice=required — Qwen reliably complies; forced to prevent | |
| # plain-text fallback | |
| set -euo pipefail | |
| HF_HUB_CACHE="${HF_HUB_CACHE:-/data/hf_cache/hub}" | |
| export HF_HUB_CACHE | |
| VENV="${SAFEMASS_VENV:-$(dirname "$0")/../.venv}" | |
| PORT="${PORT:-8002}" | |
| LOGS="${LOGS_DIR:-/tmp/vllm_logs}" | |
| mkdir -p "$LOGS" | |
| CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1}" \ | |
| "${VENV}/bin/python3" -m vllm.entrypoints.openai.api_server \ | |
| --model Qwen/Qwen3-32B \ | |
| --tensor-parallel-size 2 \ | |
| --max-model-len 16384 \ | |
| --gpu-memory-utilization 0.90 \ | |
| --port "$PORT" \ | |
| --host 127.0.0.1 \ | |
| --trust-remote-code \ | |
| --enable-auto-tool-choice \ | |
| --tool-call-parser hermes \ | |
| --no-scheduler-reserve-full-isl \ | |
| >> "${LOGS}/vllm_qwen_${PORT}.log" 2>&1 | |