Captain-Eris-Diogenes_Twilight-V0.420-12B-GGUF-ARM-Imatrix
| Property | Value |
|---|---|
| Parameter Count | 12B |
| Model Type | GGUF Quantized |
| Architecture | ARM-optimized |
| Author | Lewdiculous |
| Model URL | Hugging Face |
What is Captain-Eris-Diogenes_Twilight-V0.420-12B-GGUF-ARM-Imatrix?
This is a specialized quantized version of the Captain-Eris-Diogenes Twilight model, specifically optimized for ARM architecture using GGUF formatting and Imatrix compression. The model represents a significant advancement in making large language models more accessible on ARM-based systems while maintaining performance.
Implementation Details
The model utilizes GGUF quantization techniques combined with Imatrix compression to optimize performance on ARM architectures. It's designed to work seamlessly with SillyTavern and includes specific preset configurations for optimal deployment.
- 12B parameter architecture optimized for ARM systems
- GGUF quantization for reduced memory footprint
- Imatrix compression for efficient inference
- SillyTavern integration support
Core Capabilities
- Optimized performance on ARM-based systems
- Reduced memory requirements through quantization
- Maintained model quality despite compression
- Compatible with SillyTavern platform
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized optimization for ARM architecture while maintaining the capabilities of a 12B parameter model through efficient quantization and Imatrix compression techniques.
Q: What are the recommended use cases?
The model is particularly well-suited for deployment on ARM-based systems and integration with SillyTavern. It's ideal for users seeking to run large language models on ARM architecture with optimized performance.
