sororicide-12B-Farer-Mell-Unslop-i1-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | sororicide-12B-Farer-Mell-Unslop |
| Format | GGUF (Various Quantizations) |
| Size Range | 3.1GB - 10.2GB |
| Model Link | Hugging Face Repository |
What is sororicide-12B-Farer-Mell-Unslop-i1-GGUF?
This is a specialized GGUF quantized version of the sororicide-12B model, offering various compression levels optimized with imatrix quantization. The model provides multiple variants balancing size, speed, and quality, ranging from lightweight 3.1GB versions to high-quality 10.2GB implementations.
Implementation Details
The model features sophisticated quantization techniques, including both static and imatrix-based approaches. It offers multiple compression types such as IQ1, IQ2, IQ3, IQ4, Q4_K, Q5_K, and Q6_K, each optimized for different use cases and hardware constraints.
- Implements imatrix quantization for improved quality/size ratio
- Offers 22 different quantization variants
- Features specialized compression methods from IQ1_S (3.1GB) to Q6_K (10.2GB)
- Includes optimized variants for different performance requirements
Core Capabilities
- Flexible deployment options with various size/quality trade-offs
- Optimized performance with imatrix quantization
- Compatible with standard GGUF loading systems
- Supports both high-performance and resource-constrained environments
Frequently Asked Questions
Q: What makes this model unique?
The model's unique feature is its comprehensive range of quantization options using imatrix technology, allowing users to choose the perfect balance between model size and performance for their specific use case.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M (7.6GB) variant is recommended as it offers a good balance of speed and quality. For resource-constrained environments, the IQ3 variants provide reasonable quality at smaller sizes.
