Update README.md

README.md

@@ -2,18 +2,18 @@
 license: mit
 language:
 - en
-tags:
-- Mathematical Reasoning
 datasets:
 - akjindal53244/Arithmo-Data
+tags:
+- Mathematical Reasoning
 ---
 
-**Arithmo2-Mistral-7B** model improves initially released Arithmo-Mistral-7B model on both GSM8K and MATH benchmarks. Specifically, there is **absolute** improvement of:
+**Arithmo2-Mistral-7B** model improves initially released [Arithmo-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B) model on both GSM8K and MATH benchmarks. Specifically, there is **absolute** improvement of:
 - +1.7% on GSM8K
 - +3.0% on GSM8K PoT
 - +1.9% on MATH
 
-We release both [merged model](https://huggingface.co/upaya07/Arithmo2-Mistral-7B) and [LoRA Adapter](https://huggingface.co/upaya07/Arithmo2-Mistral-7B-adapter).
+**This repo contains final merged model**. If you are interested in LoRA adapter, use [LoRA Adapter](https://huggingface.co/upaya07/Arithmo2-Mistral-7B-adapter) instead.
 
 
 ### Model Description
@@ -99,7 +99,7 @@ Plugging these values into the formula, we get:
 The answer is: 55
 ```
 
-Arithmo2-Mistral-7B is trained with the following format:
+Arithmo2-Mistral-7B is trained with same format as [Arithmo-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B):
 #### CoT Format (generate reasoning steps with answer):
 ```
 Question: <question>