Unified Llama 4 Scout/Maverick BI-V150 deployment bundle

Dockerfile

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+# Llama 4 Scout / Maverick on Iluvatar BI-V150
+#
+# 一个镜像同时支持：
+#   - Llama-4-Scout-17B-16E-Instruct（BF16，TP8，8 卡）
+#   - Llama-4-Maverick-17B-128E-Instruct-FP8（FP8，TP8+PP2，16 卡）
+#
+# 模型权重不打进镜像，运行时按 run.sh 的 scout / maverick 预设挂载。
+#
+# 构建：
+#   docker build -t llama4-bi150:2026-10-26 .
+#
+# 运行：
+#   ./run.sh scout
+#   ./run.sh maverick
+#
+# 补丁是针对下面这个精确基础镜像生成的；换基础镜像需要重新生成 diff。
+#   registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v7
+#   (vLLM 0.17.0+corex.20260612070235)
+
+FROM registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v7
+
+ARG IMAGE_VERSION=2026-10-26
+
+LABEL org.opencontainers.image.title="llama4-bi150" \
+      org.opencontainers.image.description="Llama 4 Scout / Maverick on Iluvatar BI-V150 with vLLM 0.17.0+corex" \
+      org.opencontainers.image.version="${IMAGE_VERSION}"
+
+COPY patches /opt/llama4/patches
+COPY apply_patch.py /opt/llama4/apply_patch.py
+COPY entrypoint.sh /usr/local/bin/llama4-entrypoint.sh
+
+RUN chmod +x /usr/local/bin/llama4-entrypoint.sh \
+    && python3 /opt/llama4/apply_patch.py
+
+ENV MODEL_PATH=/models/llama4 \
+    SERVED_NAME=llama4 \
+    HOST=0.0.0.0 \
+    PORT=8091 \
+    TP=8 \
+    PP=1 \
+    MAX_MODEL_LEN=4096 \
+    MAX_NUM_SEQS=1 \
+    GPU_MEM_UTIL=0.90 \
+    ENFORCE_EAGER=1 \
+    PYTHONUNBUFFERED=1
+
+WORKDIR /opt/llama4
+EXPOSE 8091 8092
+
+ENTRYPOINT ["/usr/local/bin/llama4-entrypoint.sh"]