Update README.md

README.md

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 # **Cogito-R1: An Advanced Reasoning and Chain-of-Thought Model**  
 
 ## **Model Overview**  
-**Cogito-R1** is a fine-tuned variant of [unsloth/qwen2.5-32b-instruct](https://huggingface.co/unsloth/qwen2.5-32b-instruct), specifically optimized for **complex reasoning, mathematical problem-solving, and chain-of-thought (CoT) inference**. Developed by **Daemontatox**, this model leverages state-of-the-art fine-tuning techniques to enhance its cognitive capabilities in structured reasoning tasks.  
+**Cogito-R1** is a fine-tuned variant of [unsloth/qwen2.5-32b-instruct](https://huggingface.co/unsloth/qwen2.5-32b-instruct), 
+specifically optimized for **complex reasoning, mathematical problem-solving, and chain-of-thought (CoT) inference**. 
+Developed by **Daemontatox**, this model leverages state-of-the-art fine-tuning techniques to enhance its cognitive capabilities in structured reasoning tasks.  
 
 ### **Key Features**  
 - **Efficient Fine-tuning:** Trained 2× faster using [Unsloth](https://github.com/unslothai/unsloth) and the Hugging Face TRL library.
@@ -35,7 +37,7 @@ datasets:
 - 
 - **Mathematical Competency:** Performs strongly on mathematical and arithmetic tasks, rivaling and surpassing models such as **ChatGPT-o1 Mini** on specific benchmarks.
 - 
-- **Compact and Efficient:** Utilizes a 4-bit quantized format, making it more efficient for deployment while retaining high-level reasoning performance.  
+
 
 [![Unsloth Logo](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)](https://github.com/unslothai/unsloth)  
 
@@ -44,7 +46,7 @@ datasets:
 ## **Technical Details**  
 
 ### **Base Model**  
-- **Architecture:** Qwen2.5-32B
+- **Architecture:** Qwen2.5
 - 
 - **Fine-tuning Frameworks:** [Unsloth](https://github.com/unslothai/unsloth), [Hugging Face TRL](https://huggingface.co/docs/trl)
 -