| # Launch vLLM server for openai/gpt-oss-20b. | |
| # | |
| # Hardware: 1× L40S 48GB (TP=1). The mxfp4 quantized weights fit in ~40 GB. | |
| # Default port: 8003. Override with PORT env var. | |
| # | |
| # Key settings: | |
| # --tool-call-parser openai — gpt-oss uses the OpenAI tool schema | |
| # --reasoning-parser openai_gptoss — strips thinking tokens from output | |
| # tool_choice=required — gpt-oss reliably complies with required | |
| 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:-8003}" | |
| LOGS="${LOGS_DIR:-/tmp/vllm_logs}" | |
| mkdir -p "$LOGS" | |
| CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-2}" \ | |
| "${VENV}/bin/python3" -m vllm.entrypoints.openai.api_server \ | |
| --model openai/gpt-oss-20b \ | |
| --tensor-parallel-size 1 \ | |
| --max-model-len 16384 \ | |
| --gpu-memory-utilization 0.90 \ | |
| --port "$PORT" \ | |
| --host 127.0.0.1 \ | |
| --trust-remote-code \ | |
| --enable-auto-tool-choice \ | |
| --tool-call-parser openai \ | |
| --reasoning-parser openai_gptoss \ | |
| --no-scheduler-reserve-full-isl \ | |
| >> "${LOGS}/vllm_gptoss_${PORT}.log" 2>&1 | |