Update README.md

README.md

@@ -35,7 +35,7 @@ Advanced, high-quality and **lite** reasoning for a tiny size that you can run o
 
 At original quality, it runs at ~400 tokens/second on a single H100 Nvidia GPU from Friendli. 
 
-Trained similarly to Deepseek R1, we used Smollm2 as a base model, then we've SFT fine tuned on reasoning using our own private superthoughts instruct dataset, which includes a mix of code, website generation, day-to-day questions and answers, math. And then we modified the tokenizer slightly, after the SFT fine tuning we used GRPO to further amplify it's mathematics & problem solving abilities.
+Trained similarly to Deepseek R1, we used Smollm2 as a base model, then we've SFT fine tuned on reasoning using our own private superthoughts instruct dataset which includes a mix of code, website generation, day-to-day chats, math and counting problems. And then we modified the tokenizer slightly, after the SFT fine tuning we used GRPO to further amplify it's mathematics & problem solving abilities.
 
 # Format
 ```
@@ -60,6 +60,7 @@ So, i've counted all the letters correctly, meaning that I am sure that there ar
 <output>3
 </output><|im_end|>
 ```
+It is very reccomend to use a low temperature, higher temperatures may cause it to not think. 
 # system prompt
 (important to ensure it would always think, output).
 ```