Update README.md

README.md

@@ -34,4 +34,28 @@ Okay, lets break down the users issue.
 Therefore x should be the answer
 </think>
 
-X is the answer because...
+X is the answer because...
+```
+
+# Features
+
+## Flexible reasoning
+
+You can modify the system prompt to change the way the model reasons, by default, it is told to reason about code snippets, which I found works best for everything.
+
+## Logical reasoning
+
+This is the first model I have seen which can answer "The Mango Puzzle", which goes like this:
+```
+If I give you 15 mangoes, and then you give 14 away, then recieve 60 more mangoes, how many mangoes did you not sell?
+```
+
+The correct answer is `75 Mangoes`, most LLMs take "Give Away" as a form of sale, so they typically say `61 Mangoes`
+
+## Code reasoning
+
+This model is capable of reasoning about code snippets before responding. Even though it was not trained on any code, nor designed for coding, it can still beat some 7B or 14B non-reasoning code models.
+
+# Design
+
+This model was trained off of Qwen2.5 3B and trained on OpenAI's gsm8k dataset, as well as the Andy-4-preview-reasoning dataset