chore: import upstream snapshot with attribution

examples/deploy/vllm_dp.sh

@@ -0,0 +1,22 @@
+CUDA_VISIBLE_DEVICES=0,1 swift deploy \
+    --model Qwen/Qwen2.5-VL-7B-Instruct \
+    --infer_backend vllm \
+    --served_model_name Qwen2.5-VL-7B-Instruct \
+    --vllm_max_model_len 8192 \
+    --vllm_gpu_memory_utilization 0.9 \
+    --vllm_data_parallel_size 2
+
+# After the server-side deployment above is successful, use the command below to perform a client call test.
+
+# curl http://localhost:8000/v1/chat/completions \
+# -H "Content-Type: application/json" \
+# -d '{
+# "model": "Qwen2.5-VL-7B-Instruct",
+# "messages": [{"role": "user", "content": [
+#     {"type": "image", "image": "http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/cat.png"},
+#     {"type": "image", "image": "http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/animal.png"},
+#     {"type": "text", "text": "What is the difference between the two images?"}
+# ]}],
+# "max_tokens": 256,
+# "temperature": 0
+# }'