Mistral-Small-24b-Sertraline-0304-i1-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | Mistral-Small-24b-Sertraline-0304 |
| Model Type | GGUF Quantized |
| Source | Hugging Face |
What is Mistral-Small-24b-Sertraline-0304-i1-GGUF?
This is a comprehensive collection of quantized versions of the Mistral-Small-24b-Sertraline model, optimized using imatrix quantization techniques. The model offers various quantization levels, from highly compressed 5.4GB versions to high-quality 19.4GB variants, allowing users to choose based on their specific needs for speed, quality, and storage constraints.
Implementation Details
The model implements advanced quantization techniques with imatrix optimizations, providing multiple variants ranging from IQ1 to Q6_K. Each variant represents a different balance between model size, inference speed, and output quality.
- Multiple quantization options from 5.4GB to 19.4GB
- IQ (imatrix) quantization for improved quality at smaller sizes
- Optimized variants for different use cases (Q4_K_M recommended for balanced performance)
- Compatible with standard GGUF loading tools
Core Capabilities
- Flexible deployment options with various size/quality tradeoffs
- Optimal performance with Q4_K_M variant (14.4GB) for general use
- High-quality output with Q6_K variant (19.4GB) matching static quantization
- Resource-efficient options for constrained environments
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options using imatrix technology, offering superior quality-to-size ratios compared to traditional quantization methods. The variety of variants allows users to precisely match their hardware capabilities and quality requirements.
Q: What are the recommended use cases?
For most users, the Q4_K_M variant (14.4GB) offers the optimal balance of speed and quality. Those with limited resources can use the IQ2 or IQ3 variants, while those requiring maximum quality should consider the Q6_K variant.
