Update REAME

README.md

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 license: gemma
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-*Gemma-SEA-LION-v4-27B (Base Model) Last updated: 2025-08-21*
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-
 # Model Card for Gemma-SEA-LION-v4-27B
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-Last updated: 2025-08-21
+Last updated: 2025-08-22
 
 
 Gemma-SEA-LION-v4-27B is based on Gemma 3 (which supports over 100 languages) 
-and is a multilingual model which has undergone continued pre-training on approximately **500B** tokens across 11 SEA languages: 
-Bahasa Indonesia, Burmese, Chinese, English, Khmer, Lao, Malay, Tagalog, Tamil, Thai and Vietnamese. 
+and is a multilingual model which has undergone continued pre-training on approximately **500B** tokens 
+sampled from a bucket of over one trillion tokens across 11 SEA languages: Bahasa Indonesia, Burmese, Chinese, 
+English, Khmer, Lao, Malay, Tagalog, Tamil, Thai and Vietnamese. 
+
+Gemma-SEA-LION-v4-27B inherits the following features from Gemma 3:
 
-**SEA-LION** is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned 
-for the Southeast Asia (SEA) region
+- A large 128K context length,
 
-Gemma-SEA-LION-v4-27B inherits image and text understanding capabilities, including document comprehension, 
-visual Q&A, and image-grounded reasoning. It supports a large 128K context length. 
-Advanced function calling and structured outputs allow for seamless integration into larger systems.
+- Image and text understanding capabilities, including document comprehension, visual question answering, and image-grounded reasoning,​
+
+- Advanced function calling and structured output capabilities to facilitate seamless integration into larger systems.
 
 
 ## Model Details
@@ -176,6 +174,7 @@ The cutoff date of this version is September 2020.
 
 - We utilized 0.5% of synthetically generated datasets for the low-resource language, Khmer.
 
+
 ### Training Procedure
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
@@ -254,10 +253,6 @@ The following metrics were used:
 Coming soon.
 
 
-#### Summary
-
-TBC
-
 
 ## Environmental Impact
 
@@ -283,16 +278,14 @@ For more info, please contact us at sealion@aisingapore.org
 
 ## Team
 
-Adithya Venkatadri Hulagadri, Adwin Chan Hok Teng, Anocha Sutaveephamochanon, 
-Brandon Ong Jin Jie, Bryan Siow Wei Kang, David Ong Tat-Wee, Esther Choa Hsueh Mei, 
-Evelyn Tan Chor Phin, Hamsawardhini Rengarajan, Huang Yuli, Jann Railey Estrada Montalan, 
-Jessica Tan Siao Wei, Jonathan Heng, Karthik Nagarajan, Lee Chwan Ren, Leong Wai Yi, 
-Leong Wei Qi, Leslie Teo, Mark Pereira, Muhammad Ridzuan Bin Mokhtar, Ngee Chia Tai, 
-Ngui Jian Gang, Nguyen Thanh Ngan, Nicholas Cheng Zi Yi, Ong Zhi Hao, Peerat Limkonchotiwat, 
-Raymond Ng Boon Cheong, Sajeban Antonyrex, Susanto Yosephine, Tan Choon Meng, 
-Walter Teng Kok Wai, Wayne Lau, William Tjhi Chandra, Yeo Yeow Tong, Yong Xianbin, 
-Liew Rachel, Liu Bing Jie Darius, Teo Wei Yi, Lin Zhou, Roshan Gopalakrishnan, Cuahtemoc Anda, 
-Sri Devi Wijaya and Partha Nandi
+Antonyrex Sajeban, Chan Hok Teng Adwin, Cheng Zi Yi Nicholas, Choa Hsueh Mei Esther, Heng Jonathan, Huang Yuli, Hulagadri Adithya Venkatadri, 
+Jann Railey Estrada Montalan, Kang Siow Wei  Bryan, Lau Wayne, Lee Chwan Ren, Leong Wai Yi, Leong Wei Qi, 
+Limkonchotiwat Peerat, Muhammad Ridzuan Bin Mokhtar, Nagarajan Karthik, Ng Boon Cheong  Raymond, Ngee Chia Tai, 
+Ngui Jian Gang, Nguyen Thanh Ngan, Ong Jin Jie Brandon, Ong Tat-Wee David, Ong Zhi Hao, Pereira Mark, 
+Rengarajan Hamsawardhini, Susanto Yosephine, Sutaveephamochanon Anocha, Tan Choon Meng, Tan Chor Phin Evelyn, 
+Tan Siao Wei Jessica, Teng Kok Wai Walter, Teo Eng Sipp Leslie, Tjhi William, Yeo Yeow Tong, Yong Xianbin, 
+Liew Rachel, Liu Bing Jie Darius, Teo Wei Yi, Lin Zhou (NCS), Roshan Gopalakrishnan (NCS), Cuahtemoc Anda (NCS), 
+Sri Devi Wijaya (NCS), Partha Nandi (NCS)
 
 
 ## Contact