Update README.md

README.md

@@ -12,7 +12,7 @@ pipeline_tag: text-generation
 
 Version 1.0 / 20.Feb.2023
 
-This model is a joint collaboration between CKIP lab at Acedemia Sinica, MediaTek Research, and National Academy for Educational Research.
+This model is a joint collaboration between CKIP lab at Acedemia Sinica ([website](https://ckip.iis.sinica.edu.tw/)), MediaTek Research ([website](https://www.mtkresearch.com/)), and National Academy for Educational Research ([website](https://www.naer.edu.tw/)).
 
 ## Table of Contents
 1. [Model Details](#model-details)
@@ -36,7 +36,7 @@ BLOOM-zh is trained extendedly on larger amounts of Traditional Chinese text dat
 <details>
 <summary>Click to expand</summary> <br/>
     
-**Developed by:** MediaTek Research ([website](https://www.mtkresearch.com/))
+**Developed by:** MediaTek Research
     
 **Model Type:** Transformer-based Language Model
 
@@ -44,9 +44,9 @@ BLOOM-zh is trained extendedly on larger amounts of Traditional Chinese text dat
 
 **Languages:** Multiple; see [training data](#training-data)
 
-**License:** MEDIATEK RESEARCH License ([link](https://huggingface.co/MediaTek-Research/bloom-1b1-zh/blob/main/LICENSE_MR.md)) and RAIL License v1.0 ([link](https://huggingface.co/spaces/bigscience/license))
+**License:** MEDIATEK RESEARCH License ([link](https://huggingface.co/ckip-joint/bloom-1b1-zh/blob/main/LICENSE_MR.md)) and RAIL License v1.0 ([link](https://huggingface.co/spaces/bigscience/license))
 
-**Release Date Estimate:** Tuesday, 14.February.2023
+**Release Date Estimate:** Wednesday, 22.February.2023
 
 **Send Questions to:** info@mtkresearch.com
 
@@ -157,7 +157,7 @@ Please refer to [Model card](https://huggingface.co/bigscience/bloom-1b1#uses).
 <details>
 <summary>Click to expand</summary><br/>
     
-We trained the 1B1 parameter model on a total of 6 Billion tokens mainly crawled from the internet and provided from National Academy for Educational Research, 75% of the training data is Traditional Chinese, 25% is English.
+We trained the 1B1 parameter model on a total of 6 Billion tokens mainly crawled from the internet and provided from National Academy for Educational Research. 75% of the training data is Traditional Chinese, 25% is English.
 Details are provided in the [paper](https://arxiv.org/).
 
 </details>