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  - Reasoning
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  - text-generation-inference
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  ---
 
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  ![RA_REASONER](./image.webp)
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- # Uploaded Model
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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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- **Finetuned from model:** [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)
 
 
 
 
 
 
 
 
 
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- This model was fine-tuned from the Falcon-10B-Instruct model. It was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
 
 
 
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- This model is intended for text generation tasks, with a focus on reasoning capabilities and instruction following, similar to capabilities demonstrated by the ChatGPT-O1-Mini model.
 
 
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- ## Training Details
 
 
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- This model was fine-tuned with Unsloth and TRL, resulting in significant speed improvements during the training process. Details on specific fine-tuning data, parameters and methods will be added soon. The fine-tuning process has prioritized improving the model's reasoning abilities on various benchmarks.
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- ## Intended Use
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- This model is intended for research and development purposes related to text generation, instruction following, and complex reasoning tasks. It is suitable for applications that require a model capable of handling multi-step logical problems and understanding nuanced instructions.
 
 
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- **Focus on Reasoning:** The fine-tuning has been geared towards enhancing the model's ability to tackle reasoning challenges and logic-based tasks.
 
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  - Reasoning
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  ---
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  ![RA_REASONER](./image.webp)
 
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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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+ ---
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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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+ ---
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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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+ ---
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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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+ ---
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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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+ ---