Update README.md

README.md

@@ -42,10 +42,7 @@ Our model, Llasa, is a text-to-speech (TTS) system that extends the text-based L
 
  The method is seamlessly compatible with the Llama framework, making training TTS similar as training LLM (convert audios into single-codebook tokens and simply view it as a special language). It opens the possiblity of existing method for compression, acceleration and finetuning for LLM to be applied. 
 
-**More brief information of XCodec and XCodec2** can be found from 
-https://huggingface.co/HKUSTAudio/Llasa-3B/discussions/11
-
-
+ 
 
 ## How to use
 Install [XCodec2](https://huggingface.co/HKUSTAudio/xcodec2).  
@@ -249,6 +246,6 @@ sf.write("gen.wav", gen_wav[0, 0, :].cpu().numpy(), 16000)
 
 ## Disclaimer
 
-This model is licensed under the CC BY-NC-ND 4.0 License, which prohibits free commercial use because of ethics and privacy concerns; detected violations will result in legal consequences.
+This model is licensed under the CC BY-NC 4.0 License, which prohibits free commercial use because of ethics and privacy concerns; detected violations will result in legal consequences.
 
 This codebase is strictly prohibited from being used for any illegal purposes in any country or region. Please refer to your local laws about DMCA and other related laws.