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base_model: Daemontatox/RA_Reasoner |
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license: apache-2.0 |
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datasets: |
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- Daemontatox/Deepthinking-COT |
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language: |
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- en |
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new_version: Daemontatox/RA_Reasoner2.0 |
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library_name: transformers |
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tags: |
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- COT |
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- Reasoning |
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- text-generation-inference |
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--- |
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# **RA_Reasoner 2.0** |
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## **Model Details** |
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**Developed by:** [Daemontatox](#) |
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**License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
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**Base Model:** [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct) |
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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. |
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## **Training Details** |
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- **Frameworks Used:** Unsloth, Hugging Face TRL |
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- **Fine-Tuning Focus:** Emphasis on reasoning, logic-based tasks, and instruction comprehension. |
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- **Dataset:** Includes examples from [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT). |
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- **Optimization:** Significant speedup during fine-tuning while maintaining model quality. |
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Further details on hyperparameters and fine-tuning methodology will be added in future updates. |
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## **Intended Use** |
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This model is intended for **research and development** in text generation, reasoning tasks, and instruction-following applications. |
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### **Key Features:** |
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- Enhanced reasoning capabilities for multi-step logical problems. |
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- Robust instruction-following for complex tasks. |
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- Fine-tuned for Chain-of-Thought (COT) reasoning and inference. |
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### **Applications:** |
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- Research on reasoning-based AI systems. |
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- Tasks requiring logical deductions, such as question answering and problem-solving. |
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- General text generation with a focus on nuanced understanding. |
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## **Limitations and Warnings** |
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- This model is not designed for real-time or production-critical tasks. |
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- Outputs may vary based on input specificity and complexity. |
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- Users are responsible for ensuring ethical use and compliance with applicable regulations. |
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## **Acknowledgments** |
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- Base model: [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct) |
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- Training acceleration powered by [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library. |
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- Dataset contributions: [Daemontatox/Deepthinking-COT](https://huggingface.co/datasets/Daemontatox/Deepthinking-COT). |
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