Switch to bridge networking with fixed container port 80 and served name llm

- run.sh: bridge + -p ${HOST_PORT:-24396}:80, health check uses host port
- entrypoint.sh: PORT defaults to 80, SERVED_NAME defaults to llm
  detected port/served name become log hints only
- verify.sh: read host port from port bindings, expect model name llm
- docker-compose.yml: ports mapping instead of network_mode host
- README: update tables, commands and rationale

run.sh

@@ -16,7 +16,8 @@
 #   GPUS=8,9,10,11,12,13,14,15 ./run.sh /path/to/scout
 #   EXTRA_DOCKER_ARGS="-v /mnt/disk1:/data:ro" ./run.sh /path/to/model
 #   EXTRA_ARGS="--max-model-len 8192" ./run.sh /path/to/model
-#   TP=8 PP=1 PORT=8095 SERVED_NAME=my-llama4 ./run.sh /path/to/model
+#   HOST_PORT=24397 ./run.sh /path/to/model        # 换宿主机端口（默认 24396）
+#   TP=8 PP=1 SERVED_NAME=llm ./run.sh /path/to/model
 #   BUILD=0 ./run.sh /path/to/model      # 使用已有镜像
 #   DRY_RUN=1 ./run.sh /path/to/model    # 只打印 docker run 命令
 #
@@ -35,8 +36,9 @@ usage() {
 模型类型由 MODEL_DIR/config.json 自动判断，不需要 scout/maverick 参数。
 
 环境变量覆盖：
-  IMAGE NAME MODEL_HOST_DIR MODEL_MOUNT PORT SERVED_NAME
-  TP PP GPUS MAX_MODEL_LEN MAX_NUM_SEQS GPU_MEM_UTIL
+  IMAGE NAME MODEL_HOST_DIR MODEL_MOUNT SERVED_NAME
+  TP PP GPUS HOST_PORT（宿主机端口，默认 24396；容器内固定 80）
+  MAX_MODEL_LEN MAX_NUM_SEQS GPU_MEM_UTIL
   ENFORCE_EAGER AUTO_DETECT EXTRA_ARGS EXTRA_DOCKER_ARGS
   BUILD=0/1  DRY_RUN=0/1
 EOF
@@ -78,9 +80,12 @@ MODEL_KIND="${DETECTED_MODEL_KIND}"
 IMAGE="${IMAGE:-llama4-bi150:2026-10-26}"
 NAME="${NAME:-llama4-${MODEL_KIND}}"
 HOST="${HOST:-0.0.0.0}"
-PORT="${PORT:-${DETECTED_PORT}}"
+# 容器内端口固定 80；宿主机端口是 HOST_PORT，默认 24396（串行部署复用同一端口）。
+# PORT 保留为兼容别名，若显式给 PORT 则视作 HOST_PORT。
+CONTAINER_PORT=80
+HOST_PORT="${HOST_PORT:-${PORT:-24396}}"
 MODEL_MOUNT="${MODEL_MOUNT:-/models/llama4}"
-SERVED_NAME="${SERVED_NAME:-${DETECTED_SERVED_NAME}}"
+SERVED_NAME="${SERVED_NAME:-llm}"
 TP="${TP:-${DETECTED_TP}}"
 PP="${PP:-${DETECTED_PP}}"
 MAX_MODEL_LEN="${MAX_MODEL_LEN:-4096}"
@@ -125,11 +130,11 @@ DOCKER_RUN=(
   docker run -d --name "${NAME}"
   --entrypoint /usr/local/bin/llama4-entrypoint.sh
   --workdir /opt/llama4
-  --expose "${PORT}"
+  --expose "${CONTAINER_PORT}"
   --privileged
   --pid host
-  --network host
   --ipc host
+  -p "${HOST_PORT}:${CONTAINER_PORT}"
   -v /dev:/dev
   -v "${MODEL_HOST_DIR}:${MODEL_MOUNT}:ro"
   --ulimit memlock=-1
@@ -140,7 +145,7 @@ DOCKER_RUN=(
   -e MODEL_KIND="${MODEL_KIND}"
   -e HOST="${HOST}"
   -e SERVED_NAME="${SERVED_NAME}"
-  -e PORT="${PORT}"
+  -e PORT="${CONTAINER_PORT}"
   -e TP="${TP}"
   -e PP="${PP}"
   -e MAX_MODEL_LEN="${MAX_MODEL_LEN}"
@@ -156,7 +161,9 @@ DOCKER_RUN=(
 
 echo "==> detected ${MODEL_KIND}: ${DETECTED_DESCRIPTION}"
 echo "    model : ${MODEL_HOST_DIR}"
-echo "    TP/PP : ${TP}/${PP} (${GPU_COUNT} GPUs), port=${PORT}, name=${SERVED_NAME}"
+echo "    TP/PP : ${TP}/${PP} (${GPU_COUNT} GPUs)"
+echo "    port  : 127.0.0.1:${HOST_PORT} -> container:${CONTAINER_PORT}"
+echo "    name  : ${SERVED_NAME}"
 echo "    GPUs  : ${GPUS}"
 
 if [[ "${DRY_RUN}" == "1" ]]; then
@@ -178,10 +185,10 @@ docker rm -f "${NAME}" 2>/dev/null || true
 echo "==> run ${MODEL_KIND}"
 "${DOCKER_RUN[@]}"
 
-echo "==> wait for http://127.0.0.1:${PORT}/health"
+echo "==> wait for http://127.0.0.1:${HOST_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:${PORT}/v1/models"
+  if curl -sf "http://127.0.0.1:${HOST_PORT}/health" >/dev/null 2>&1; then
+    echo "ready: http://127.0.0.1:${HOST_PORT}/v1/models"
     exit 0
   fi
   sleep 5