52 lines
1.6 KiB
Bash
52 lines
1.6 KiB
Bash
#!/usr/bin/env bash
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#
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# Llama 4 Scout 容器入口：
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# 1. 幂等应用 vLLM CoreX 的 Llama4 chunked-attention 补丁
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# 2. 检查模型目录
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# 3. exec vLLM（信号可直接传给 vLLM）
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#
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set -euo pipefail
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python3 /opt/llama4/apply_patch.py
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MODEL_PATH="${MODEL_PATH:-/models/llama4-scout}"
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SERVED_NAME="${SERVED_NAME:-llama4-scout}"
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HOST="${HOST:-0.0.0.0}"
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PORT="${PORT:-8091}"
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TP="${TP:-8}"
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MAX_MODEL_LEN="${MAX_MODEL_LEN:-4096}"
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MAX_NUM_SEQS="${MAX_NUM_SEQS:-1}"
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GPU_MEM_UTIL="${GPU_MEM_UTIL:-0.90}"
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EXTRA_ARGS="${EXTRA_ARGS:-}"
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if [[ ! -f "${MODEL_PATH}/config.json" ]]; then
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echo "ERROR: 模型目录不完整：${MODEL_PATH}/config.json 不存在" >&2
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echo "请确认已挂载模型，例如：" >&2
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echo " -v /mnt/disk0/models/LLM-Research/Llama-4-Scout-17B-16E-Instruct:/models/llama4-scout:ro" >&2
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exit 1
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fi
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echo "============================================================"
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echo "Llama 4 Scout"
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echo " model : ${MODEL_PATH}"
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echo " served name: ${SERVED_NAME}"
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echo " listen : ${HOST}:${PORT}"
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echo " TP : ${TP}"
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echo " max len : ${MAX_MODEL_LEN}"
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echo " max seqs : ${MAX_NUM_SEQS}"
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echo " gpu util : ${GPU_MEM_UTIL}"
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echo " extra : ${EXTRA_ARGS}"
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echo "============================================================"
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# shellcheck disable=SC2086
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exec vllm serve "${MODEL_PATH}" \
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--host "${HOST}" \
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--port "${PORT}" \
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--served-model-name "${SERVED_NAME}" \
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--tensor-parallel-size "${TP}" \
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--max-model-len "${MAX_MODEL_LEN}" \
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--max-num-seqs "${MAX_NUM_SEQS}" \
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--gpu-memory-utilization "${GPU_MEM_UTIL}" \
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--enforce-eager \
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${EXTRA_ARGS}
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