Update README.md

README.md

@@ -107,9 +107,9 @@ pipe({'audio': audio, 'turns': turns, 'sampling_rate': sr}, max_new_tokens=30)
 
 The model uses a pre-trained [GLM-4.5](https://huggingface.co/zai-org/GLM-4.5) backbone as well as the encoder part of [whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo).
 
-The multi-modal adapter is trained, the Whisper encoder is fine-tuned, and the Llama model is kept frozen.
+The multi-modal adapter is trained, the Whisper encoder is fine-tuned, and the GLM model is kept frozen.
 
-We use a knowledge-distillation loss where Ultravox is trying to match the logits of the text-based Llama backbone.
+We use a knowledge-distillation loss where Ultravox is trying to match the logits of the text-based GLM backbone.
 
 ### Training Data