Add Wechat_Group_QR_Code.png to docs/source/media and main page of TR…

README.md

@@ -223,3 +223,5 @@ To get started with TensorRT-LLM, visit our documentation:
 - [Quantized models on Hugging Face](https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4): A growing collection of quantized (e.g., FP8, FP4) and optimized LLMs, including [DeepSeek FP4](https://huggingface.co/nvidia/DeepSeek-R1-FP4), ready for fast inference with TensorRT-LLM.
 - [NVIDIA Dynamo](https://github.com/ai-dynamo/dynamo): A datacenter scale distributed inference serving framework that works seamlessly with TensorRT-LLM.
 - [AutoDeploy](./examples/auto_deploy/README.md): An experimental backend for TensorRT-LLM to simplify and accelerate the deployment of PyTorch models.
+- Discussion WeChat Group: A Real-Time Platform for TRT-LLM Documentation, News, and Q&A.
+![Wechat Group](./docs/source/media/Wechat_Group_QR_Code.png)