Add production vllm serve example (TP4, tool calling, MTP spec decode)

README.md

@@ -28,10 +28,35 @@ using **AutoRound** via [llm-compressor](https://github.com/vllm-project/llm-com
 
 ## Usage (vLLM ≥ 0.26)
 
+Production example (4× RTX 3090, tool calling + reasoning parser + MTP speculative decoding).
+Replace the local path with the repo id `DoktorMincs/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP-W4A16-AutoRound` to load directly from the Hub:
+
 ```bash
-vllm serve DoktorMincs/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP-W4A16-AutoRound \
-  --tensor-parallel-size 2 --max-model-len 65536 \
-  --speculative-config '{"method":"mtp","num_speculative_tokens":1}'
+export CUDA_DEVICE_ORDER=PCI_BUS_ID
+export OMP_NUM_THREADS=4
+export CUDA_VISIBLE_DEVICES=0,1,2,3
+export PYTORCH_ALLOC_CONF=expandable_segments:True
+export NCCL_P2P_DISABLE=1
+export FLASHINFER_DISABLE_VERSION_CHECK=1
+
+exec vllm serve \
+    /root/models/DoktorMincs/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP-W4A16-AutoRound \
+    --served-model-name "qwen3.6-27b" \
+    --tensor-parallel-size 4 \
+    --max-model-len 163840 \
+    --override-generation-config '{"temperature": 0.6, "top_p": 0.95, "top_k": 20, "min_p": 0.0, "presence_penalty": 0.0, "repetition_penalty": 1.0}' \
+    --tool-call-parser qwen3_coder \
+    --reasoning-parser qwen3 \
+    --enable-auto-tool-choice \
+    --trust-remote-code \
+    --enable-prefix-caching \
+    --max-num-batched-tokens 8192 \
+    --gpu-memory-utilization 0.88 \
+    --disable-custom-all-reduce \
+    --max-num-seqs 16 \
+    --host 0.0.0.0 \
+    --port 3434 \
+    --speculative-config '{"method": "mtp", "num_speculative_tokens": 1}'
 ```
 
 - Vision inputs work normally (image/video); the vision tower runs in BF16.