metadata

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 2.0

Model Details

Developed by: Daemontatox
License: Apache 2.0
Base Model: 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 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.
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
Training acceleration powered by Unsloth and Hugging Face's TRL library.
Dataset contributions: Daemontatox/Deepthinking-COT.