| # Launch vLLM server for mistralai/Magistral-Small-2509. | |
| # | |
| # Hardware: 2× L40S 48GB (TP=2). | |
| # Default port: 8004. Override with PORT env var. | |
| # | |
| # Key settings: | |
| # --tokenizer-mode mistral \ | |
| # --config-format mistral \ | |
| # --load-format mistral — Mistral models require their own tokenizer/loader | |
| # --tool-call-parser mistral — uses Mistral tool-call format | |
| # --reasoning-parser mistral — strips Magistral thinking tokens | |
| # tool_choice=auto — Magistral returns empty tool_calls with 'required'; | |
| # 'auto' is the correct setting for this model | |
| 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:-8004}" | |
| LOGS="${LOGS_DIR:-/tmp/vllm_logs}" | |
| mkdir -p "$LOGS" | |
| CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-3,4}" \ | |
| "${VENV}/bin/python3" -m vllm.entrypoints.openai.api_server \ | |
| --model mistralai/Magistral-Small-2509 \ | |
| --tensor-parallel-size 2 \ | |
| --max-model-len 16384 \ | |
| --gpu-memory-utilization 0.90 \ | |
| --port "$PORT" \ | |
| --host 127.0.0.1 \ | |
| --trust-remote-code \ | |
| --tokenizer-mode mistral \ | |
| --config-format mistral \ | |
| --load-format mistral \ | |
| --enable-auto-tool-choice \ | |
| --tool-call-parser mistral \ | |
| --reasoning-parser mistral \ | |
| --no-scheduler-reserve-full-isl \ | |
| >> "${LOGS}/vllm_magistral_${PORT}.log" 2>&1 | |