Update README.md (#1319)

README.md

@@ -177,7 +177,7 @@ We're also fortunate to be integrated into some of the leading open-source libra
 2. Hugging Face diffusers best practices with torch.compile and torchao in a standalone repo [diffusers-torchao](https://github.com/sayakpaul/diffusers-torchao)
 3. Mobius HQQ backend leveraged our int4 kernels to get [195 tok/s on a 4090](https://github.com/mobiusml/hqq#faster-inference)
 4. [TorchTune](https://github.com/pytorch/torchtune) for our QLoRA and QAT recipes
-5. [torchchat](https://github.com/pytorch/torchtune) for post training quantization
+5. [torchchat](https://github.com/pytorch/torchchat) for post training quantization
 6. [SGLang](https://github.com/sgl-project/sglang/pull/1341) for LLM inference quantization
 
 ## Videos