59 lines
1.6 KiB
Bash
59 lines
1.6 KiB
Bash
#!/usr/bin/env bash
|
||
#
|
||
# 一键构建 + 启动 Llama 4 Scout（8 卡）
|
||
#
|
||
# MODEL_HOST_DIR=/mnt/disk0/models/LLM-Research/Llama-4-Scout-17B-16E-Instruct \
|
||
# ./run.sh
|
||
#
|
||
set -euo pipefail
|
||
|
||
IMAGE="${IMAGE:-llama4-scout:2026-10-23}"
|
||
NAME="${NAME:-llama4-scout}"
|
||
PORT="${PORT:-8091}"
|
||
MODEL_HOST_DIR="${MODEL_HOST_DIR:-/mnt/disk0/models/LLM-Research/Llama-4-Scout-17B-16E-Instruct}"
|
||
|
||
if [[ ! -f "${MODEL_HOST_DIR}/config.json" ]]; then
|
||
echo "ERROR: 模型目录不完整: ${MODEL_HOST_DIR}/config.json" >&2
|
||
echo "请先下载模型，或设置 MODEL_HOST_DIR 指向正确目录。" >&2
|
||
exit 1
|
||
fi
|
||
|
||
echo "==> build ${IMAGE}"
|
||
docker build -t "${IMAGE}" .
|
||
|
||
echo "==> recreate ${NAME}"
|
||
docker rm -f "${NAME}" 2>/dev/null || true
|
||
|
||
# Iluvatar 运行时需要 privileged + /dev 绑定。
|
||
# 只给 --device=/dev/iluvatar* 会在 worker init 时报
|
||
# cudaGetDeviceCount() ... Error 1001
|
||
# 这是厂商驱动/容器运行时要求，不是 vLLM 本身的要求。
|
||
docker run -d --name "${NAME}" \
|
||
--privileged \
|
||
--pid host \
|
||
--network host \
|
||
--ipc host \
|
||
-v /dev:/dev \
|
||
-v "${MODEL_HOST_DIR}:/models/llama4-scout:ro" \
|
||
--ulimit memlock=-1 \
|
||
--ulimit stack=67108864 \
|
||
-e TP=8 \
|
||
-e MAX_MODEL_LEN=4096 \
|
||
-e MAX_NUM_SEQS=1 \
|
||
-e GPU_MEM_UTIL=0.90 \
|
||
--restart unless-stopped \
|
||
"${IMAGE}"
|
||
|
||
echo "==> wait for http://127.0.0.1:${PORT}/health"
|
||
for _ in $(seq 1 120); do
|
||
if curl -sf "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1; then
|
||
echo "ready: http://127.0.0.1:${PORT}/v1/models"
|
||
exit 0
|
||
fi
|
||
sleep 5
|
||
done
|
||
|
||
echo "ERROR: 服务 10 分钟未就绪，查看日志：" >&2
|
||
echo " docker logs -f ${NAME}" >&2
|
||
exit 1
|