Update README.md

README.md

@@ -9,7 +9,7 @@ base_model:
 
 ## Introduction
 
-This repo contains the **Qwen2.5-7B-Instruct-Add-Speech-Token-4096-Nostrip** model utilized to train the [EMOVA](https://huggingface.co/collections/Emova-ollm/emova-models-67779d377bb8261e6057a320) series of models. Based on the original [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) checkpoint, we further insert speech tokens into its vocabulary for end-to-end omni-modal alignment as follows. The total number of speech tokens in [EMOVA speech tokenizer](https://huggingface.co/Emova-ollm/emova_speech_tokenizer_hf) is 4096. Therefore, it should be utilized as initialization in the **Stage 2: Omni-modal text-centric alignment** of EMOVA training.
+This repo contains the **Qwen2.5-7B-Instruct-Add-Speech-Token-4096-Nostrip** model utilized to train the [EMOVA](https://huggingface.co/collections/Emova-ollm/emova-models-67779d377bb8261e6057a320) series of models. Based on the original [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) checkpoint, we further insert speech tokens into its vocabulary for end-to-end omni-modal alignment as follows. The total number of speech tokens in [EMOVA speech tokenizer](https://huggingface.co/Emova-ollm/emova_speech_tokenizer_hf) is 4096. Therefore, it should be utilized as initialization in the **Stage 2: Omni-modal text-centric alignment** of EMOVA training. 
 
 ```bash
 # Source code can be found https://github.com/emova-ollm/EMOVA#insert-speech-tokens-into-llm-vocabulary