Reasonablellama3 3B Jr

🚀 ReasonableLlama-3B: A Fine-Tuned Reasoning Model

ReasonableLlama-3B is a state-of-the-art reasoning model based on LLaMA-3B. It has been meticulously fine - tuned to boost its performance in logical thinking, problem - solving, and creative analysis.

• HF: https://huggingface.co/adeelahmad/ReasonableLlama3-3B-Jr
• Ollama: https://ollama.com/adeelahmad/ReasonableLLAMA-Jr-3b

🚀 Quick Start

ReasonableLlama-3B is a powerful reasoning model. It can be integrated into existing systems via APIs or local setup, and supports text and images as inputs, leveraging Ollama's versatile capabilities.

✨ Features

• Advanced Reasoning: It excels in logical analysis, problem - solving, and decision - making.
• Creative Thinking: Capable of generating innovative solutions and ideas.
• Curriculum - Based Fine - Tuning: Trained on high - quality datasets to enhance reasoning abilities.

📦 Installation

The model can be integrated into existing systems via APIs or local setup.

💻 Usage Examples

No specific code examples are provided in the original document. If you want to use the model, you can refer to the integration methods mentioned above.

📚 Documentation

Overview

• Model Name: ReasonableLlama-3B
• Base Architecture: LLaMA-3B (Large Language Model with 3B parameters)
• Purpose: Designed for tasks requiring advanced reasoning, problem - solving, and creative thinking

Use Cases

• Research: Facilitates complex problem - solving and theoretical analysis.
• Education: Assists in creating educational examples and problem sets.
• Problem Solving: Helps generate innovative solutions across various domains.

Limitations

• Scope: Limited to single - step reasoning; multi - hop reasoning is a current focus area.
• Data Bias: Caution with dataset provenance as it may reflect historical biases.

Contributing

Contributions are welcome! You can fork the project, submit issues, and pull requests on GitHub. Your insights can help shape future improvements.

Citations

• Special thanks to LLaMA's developers for providing a strong foundation.
• Acknowledgments to the community contributing to open - source AI advancements.

🔧 Technical Details

• Parameter Count: 3B parameters
• Training Process: Fine - tuned using state - of - the - art techniques for reasoning tasks
• Specialization: Optimized for specific reasoning workflows and scenarios

📄 License

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