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Sonic
jomarie04/Sonic
Sonic is a machine learning model from jomarie04. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
Model Name: Sonic Model Type: Conceptual Character-Based AI Model Version: 1.0 Developed By: Community / Educational Use Release Date: 2025
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Updated Dec 27, 2025
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025
- SHA
- d79bd413
Datasets
Model card
From the Hugging Face model README
Sonic Model Card
Model Details
Model Name: Sonic
Model Type: Conceptual Character-Based AI Model
Version: 1.0
Developed By: Community / Educational Use
Release Date: 2025
Description:
Sonic is a conceptual character-based AI model inspired by high-speed platformer hero archetypes. The model focuses on speed optimization, rapid decision-making, momentum-based movement, and obstacle navigation in structured, game-like environments. This model does not use proprietary or copyrighted training data.
Intended Uses
Primary Intended Uses
- High-speed game AI simulations
- Educational demonstrations of reaction-based AI
- Character behavior modeling for platformer games
- Research on speed and momentum-based decision systems
Out-of-Scope Uses
- Real-world autonomous systems
- Medical, legal, or financial decision-making
- Military or surveillance applications
- Gambling or betting platforms
Training Data
Data Type: Synthetic / Rule-Based
Data Sources:
- Procedurally generated high-speed platform environments
- Synthetic physics simulations (momentum, acceleration, slopes)
- Rule-based obstacle and enemy interaction scenarios
Personal Data:
None. No personal, private, or sensitive data was used.
Model Inputs and Outputs
Inputs
- Environment state (terrain slope, obstacles, rings, enemies)
- Speed and momentum parameters
- Game rules and mechanics
Outputs
- Action selection (run, boost, jump, evade)
- Velocity and direction adjustments
- Success or failure indicators
Performance
Metrics are illustrative and depend on environment complexity and speed.
- Task Completion Rate: ~90%
- Obstacle Avoidance Accuracy: ~87%
- Reaction Time Efficiency: ~95%
Limitations
- Optimized only for high-speed, structured environments
- No real-world situational awareness
- Limited adaptability beyond predefined mechanics
- Not trained on real gameplay footage
Ethical Considerations
- No personal or sensitive data used
- Intended for entertainment and educational purposes only
- No real-world behavioral influence
License
License: Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
This model is free for educational and non-commercial use with attribution.
This project is not affiliated with or endorsed by SEGA.
Citation
If you use this model in research or projects, please cite:
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025