Initial commit: Llama 4 Scout BI-V150 deployment bundle

entrypoint.sh

@@ -0,0 +1,51 @@
+#!/usr/bin/env bash
+#
+# Llama 4 Scout 容器入口：
+#   1. 幂等应用 vLLM CoreX 的 Llama4 chunked-attention 补丁
+#   2. 检查模型目录
+#   3. exec vLLM（信号可直接传给 vLLM）
+#
+set -euo pipefail
+
+python3 /opt/llama4/apply_patch.py
+
+MODEL_PATH="${MODEL_PATH:-/models/llama4-scout}"
+SERVED_NAME="${SERVED_NAME:-llama4-scout}"
+HOST="${HOST:-0.0.0.0}"
+PORT="${PORT:-8091}"
+TP="${TP:-8}"
+MAX_MODEL_LEN="${MAX_MODEL_LEN:-4096}"
+MAX_NUM_SEQS="${MAX_NUM_SEQS:-1}"
+GPU_MEM_UTIL="${GPU_MEM_UTIL:-0.90}"
+EXTRA_ARGS="${EXTRA_ARGS:-}"
+
+if [[ ! -f "${MODEL_PATH}/config.json" ]]; then
+  echo "ERROR: 模型目录不完整：${MODEL_PATH}/config.json 不存在" >&2
+  echo "请确认已挂载模型，例如：" >&2
+  echo "  -v /mnt/disk0/models/LLM-Research/Llama-4-Scout-17B-16E-Instruct:/models/llama4-scout:ro" >&2
+  exit 1
+fi
+
+echo "============================================================"
+echo "Llama 4 Scout"
+echo "  model      : ${MODEL_PATH}"
+echo "  served name: ${SERVED_NAME}"
+echo "  listen     : ${HOST}:${PORT}"
+echo "  TP         : ${TP}"
+echo "  max len    : ${MAX_MODEL_LEN}"
+echo "  max seqs   : ${MAX_NUM_SEQS}"
+echo "  gpu util   : ${GPU_MEM_UTIL}"
+echo "  extra      : ${EXTRA_ARGS}"
+echo "============================================================"
+
+# shellcheck disable=SC2086
+exec vllm serve "${MODEL_PATH}" \
+  --host "${HOST}" \
+  --port "${PORT}" \
+  --served-model-name "${SERVED_NAME}" \
+  --tensor-parallel-size "${TP}" \
+  --max-model-len "${MAX_MODEL_LEN}" \
+  --max-num-seqs "${MAX_NUM_SEQS}" \
+  --gpu-memory-utilization "${GPU_MEM_UTIL}" \
+  --enforce-eager \
+  ${EXTRA_ARGS}