RoseG/NonGhastly
RoseG/NonGhastly is a 7 billion parameter prototype model developed by RoseG, designed as a lightweight implementation of Triadic Alignment. This instruction-tuned model focuses on demonstrating the core principles of its alignment methodology. With a 4096-token context length, it serves as a foundational experiment for advanced alignment research.
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RoseG/NonGhastly: A Triadic Alignment Prototype
RoseG/NonGhastly is a 7 billion parameter language model developed by RoseG, serving as a lightweight prototype for exploring Triadic Alignment. This model is specifically instruction-tuned (SFT) to demonstrate the foundational concepts of this alignment methodology, rather than aiming for general-purpose performance.
Key Characteristics
- 7 Billion Parameters: A compact size for efficient experimentation and development.
- Triadic Alignment Focus: Primarily designed to showcase and test the principles of Triadic Alignment.
- Instruction-Tuned (SFT): Optimized for following specific instructions, making it suitable for controlled experimental setups.
- 4096 Token Context Length: Provides a standard context window for processing prompts and generating responses within its experimental scope.
Use Cases
This model is ideal for researchers and developers interested in:
- Exploring novel alignment techniques: Specifically, understanding and experimenting with Triadic Alignment.
- Developing and testing alignment methodologies: Its prototype nature makes it a suitable base for iterative development.
- Lightweight experimentation: The 7B parameter count allows for more accessible research compared to larger models.