auto-rename

README.md

@@ -24,22 +24,22 @@ widget:
 should probably proofread and complete it, then remove this comment. -->
 
 <p align="center" width="100%">
-    <a><img src="https://raw.githubusercontent.com/mbzuai-nlp/lamini/main/images/LaMnin.png" alt="Title" style="width: 100%; min-width: 300px; display: block; margin: auto;"></a>
+    <a><img src="https://raw.githubusercontent.com/mbzuai-nlp/lamini-lm/main/images/Lamini.png" alt="Title" style="width: 100%; min-width: 300px; display: block; margin: auto;"></a>
 </p>
 
 # LaMini-Neo-125M
 
 [![Model License](https://img.shields.io/badge/Model%20License-CC%20By%20NC%204.0-red.svg)]()
 
-This model is one of our LaMini model series in paper "[LaMini: A Diverse Herd of Distilled Models from Large-Scale Instructions](https://github.com/mbzuai-nlp/lamini)". 
-This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on [LaMini dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction) that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our [project repository](https://github.com/mbzuai-nlp/lamini/).  
-You can view other LaMini model series as follow. Note that not all models are performing as well. Models with ✩ are those with the best overall performance given their size/architecture. More details can be seen in our paper. 
+This model is one of our LaMini-LM model series in paper "[LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions](https://github.com/mbzuai-nlp/lamini-lm)". 
+This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on [LaMini-instruction dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction) that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our [project repository](https://github.com/mbzuai-nlp/lamini-lm/).  
+You can view other LaMini-LM model series as follow. Note that not all models are performing as well. Models with ✩ are those with the best overall performance given their size/architecture. More details can be seen in our paper. 
 
 <table>
 <thead>
   <tr>
     <th>Base model</th>
-    <th colspan="4">LaMini series (#parameters)</th>
+    <th colspan="4">LaMini-LM series (#parameters)</th>
   </tr>
 </thead>
 <tbody>
@@ -121,10 +121,10 @@ print("Response": generated_text)
 ## Training Procedure
 
 <p align="center" width="100%">
-    <a><img src="https://raw.githubusercontent.com/mbzuai-nlp/lamini/main/images/lamini-pipeline.drawio.png" alt="Title" style="width: 100%; min-width: 250px; display: block; margin: auto;"></a>
+    <a><img src="https://raw.githubusercontent.com/mbzuai-nlp/lamini-lm/main/images/lamini-pipeline.drawio.png" alt="Title" style="width: 100%; min-width: 250px; display: block; margin: auto;"></a>
 </p>
 
-We initialize with [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) and fine-tune it on our [LaMini dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction). Its total number of parameters is 125M. 
+We initialize with [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) and fine-tune it on our [LaMini-instruction dataset](https://huggingface.co/datasets/MBZUAI/LaMini-instruction). Its total number of parameters is 125M. 
 
 ### Training Hyperparameters
 
@@ -142,7 +142,7 @@ More information needed
 
 ```bibtex
 @misc{lamini,
-      title={LaMini: A Diverse Herd of Distilled Models from Large-Scale Instructions}, 
+      title={LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions}, 
       author={},
       year={2023},
       publisher = {GitHub},