Kyro-n1-7B-GGUF
| Property | Value |
|---|---|
| Original Model | open-neo/Kyro-n1-7B |
| Format | GGUF |
| Author | mradermacher |
| Model Hub | HuggingFace |
What is Kyro-n1-7B-GGUF?
Kyro-n1-7B-GGUF is a quantized version of the original Kyro-n1-7B model, optimized for efficient deployment and reduced storage requirements. This implementation provides various quantization levels, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model offers multiple quantization variants ranging from Q2_K to F16, with file sizes spanning from 3.1GB to 15.3GB. Notable implementations include recommended Q4_K_S and Q4_K_M variants, which provide an optimal balance between speed and quality, and Q8_0 which offers the highest quality while maintaining reasonable file size.
- Q2_K: 3.1GB - Smallest file size option
- Q4_K_S/M: 4.6-4.8GB - Fast and recommended for general use
- Q6_K: 6.4GB - Very good quality implementation
- Q8_0: 8.2GB - Highest quality while maintaining efficiency
- F16: 15.3GB - Full precision, maximum quality
Core Capabilities
- Multiple quantization options for different use-case requirements
- Optimized for efficient deployment in resource-constrained environments
- Includes IQ-quant variants for improved quality at smaller sizes
- Compatible with standard GGUF file handling systems
Frequently Asked Questions
Q: What makes this model unique?
The model provides a comprehensive range of quantization options, allowing users to choose the optimal balance between model size and performance. It includes both standard and IQ-quant variants, with clear recommendations for general use cases.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants are recommended as they offer a good balance of speed and quality. For highest quality requirements, Q8_0 is recommended, while Q2_K is suitable for extremely resource-constrained environments.
