Update README

README.md

@@ -43,7 +43,7 @@ For tokenization, the model employs the default tokenizer used in Gemma 3 27B IT
 - **Context length:** 128k
 - **Language(s) (NLP):**  Bahasa Indonesia, Burmese, Chinese, English, Khmer, Lao, Malay, Tagalog, Tamil, Thai and Vietnamese
 - **License:** [Gemma Terms of Use](https://ai.google.dev/gemma/terms)
-- **Finetuned from model:** [Gemma-3-27B-IT](https://huggingface.co/google/gemma-3-27b-it)
+- **Continued pretrained from model:** [Gemma-3-27B-IT](https://huggingface.co/google/gemma-3-27b-it)
 
 ### Model Sources
 
@@ -77,7 +77,7 @@ due to the potential inconsistencies.
 
 **Limitations**
 
-In terms of vision capability, Gemma-SEA-LION-v4-27B has been trained and fine-tuned exclusively on the text back-end.
+In terms of vision capability, Gemma-SEA-LION-v4-27B has been continued pretrained exclusively on the text back-end.
 As a result, its vision capabilities are expected to be comparable to those of Gemma 3 IT 27B, 
 and may not exhibit significant improvements or differences in this area. [🤗 google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it )