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dd138ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | #!/bin/bash
# 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
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