---
base_model: Daemontatox/RA_Reasoner
license: apache-2.0
datasets:
- Daemontatox/Deepthinking-COT
language:
- en
new_version: Daemontatox/RA_Reasoner2.0
library_name: transformers
tags:
- COT
- Reasoning
- text-generation-inference
---

![RA_REASONER](./image.webp)

# **RA_Reasoner 2.0**

## **Model Details**

**Developed by:** [Daemontatox](#)  
**License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)  
**Base Model:** [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)  

This model is fine-tuned from the Falcon-10B-Instruct model, leveraging advanced training optimizations to enhance reasoning and instruction-following capabilities. It was trained 2x faster using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.  

---

## **Training Details**

- **Frameworks Used:** Unsloth, Hugging Face TRL  
- **Fine-Tuning Focus:** Emphasis on reasoning, logic-based tasks, and instruction comprehension.  
- **Dataset:** Includes examples from [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT).  
- **Optimization:** Significant speedup during fine-tuning while maintaining model quality.  

Further details on hyperparameters and fine-tuning methodology will be added in future updates.

---

## **Intended Use**

This model is intended for **research and development** in text generation, reasoning tasks, and instruction-following applications.  

### **Key Features:**
- Enhanced reasoning capabilities for multi-step logical problems.
- Robust instruction-following for complex tasks.
- Fine-tuned for Chain-of-Thought (COT) reasoning and inference.  

### **Applications:**
- Research on reasoning-based AI systems.  
- Tasks requiring logical deductions, such as question answering and problem-solving.  
- General text generation with a focus on nuanced understanding.

---

## **Limitations and Warnings**

- This model is not designed for real-time or production-critical tasks.  
- Outputs may vary based on input specificity and complexity.  
- Users are responsible for ensuring ethical use and compliance with applicable regulations.  

---

## **Acknowledgments**

- Base model: [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)  
- Training acceleration powered by [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.  
- Dataset contributions: [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT).  

---