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README.md

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+# 天数智芯 天垓100 文本生成引擎（基于 vLLM 优化适配Qwen3.6-35B-A3B）
+
+```
+# 本地构建
+docker build -t enginex-iluvatar-vllm:bi100-qwen3.6 -f Dockerfile .
+```
+
+
+启动容器镜像
+
+下载Qwen3.6-35B-A3B模型，并且需要将模型的config.json文件中architectures字段改成
+```json
+"architectures": [
+        "Qwen3_5MoeForCausalLM"
+    ]
+```
+
+```bash
+docker run -dit --network=host --ipc=host \
+  -v /usr/src:/usr/src -v /lib/modules:/lib/modules -v /dev:/dev --privileged \
+  -v /mnt/disk1/models/Qwen3.6-35B-A3B:/model:ro --entrypoint=python3 \
+  -e CUDA_VISIBLE_DEVICES=4,5,6,7 -e VLLM_ENGINE_ITERATION_TIMEOUT_S=3600 \
+  enginex-iluvatar-vllm:bi100-qwen3.6 \
+  -m vllm.entrypoints.openai.api_server \
+  --model /model --port 1111 --served-model-name llm \
+  --max-model-len 100000 --trust-remote-code -tp 4 --gpu-memory-utilization 0.95 \
+  --max-num-seqs 1 --disable-log-requests --disable-frontend-multiprocessing \
+  --max-num-batched-tokens 4096 --enable-chunked-prefill \
+  --max-seq-len-to-capture 32768 --enable-auto-tool-choice \
+  --tool-call-parser qwen3_coder --reasoning-parser qwen3
+```
+
+请求
+```bash
+curl http://localhost:1111/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "llm",
+    "messages": [
+      {"role": "system", "content": "You are a helpful assistant."},
+      {"role": "user", "content": "Can you tell me the story of Snow White?"}
+    ],
+    "max_tokens": 200,
+    "temperature": 0.7
+  }'
+```