Bigger-Body-12b-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Original Model | allura-org/Bigger-Body-12b |
| Format | GGUF |
| Repository | Hugging Face |
What is Bigger-Body-12b-GGUF?
Bigger-Body-12b-GGUF is a quantized version of the Bigger-Body-12b model, optimized for efficient deployment while maintaining performance. It offers multiple quantization options ranging from Q2 to Q8, allowing users to balance between model size and quality based on their specific needs.
Implementation Details
The model provides various quantization types, each optimized for different use cases. The quantization options range from 4.9GB (Q2_K) to 13.1GB (Q8_0), with several intermediate options offering different trade-offs between size and quality.
- Q4_K_S and Q4_K_M variants are recommended for fast performance (7.2GB and 7.6GB respectively)
- Q6_K offers very good quality at 10.2GB
- Q8_0 provides the best quality at 13.1GB with fast performance
- IQ4_XS offers improved quality compared to similar-sized non-IQ quants
Core Capabilities
- Multiple quantization options for flexible deployment
- Optimized performance-to-size ratios
- Support for both standard and IQ quantization types
- Compatible with standard GGUF loading tools
Frequently Asked Questions
Q: What makes this model unique?
The model offers a comprehensive range of quantization options, allowing users to choose the optimal balance between model size and quality. It includes both standard and IQ-quants, with detailed performance characteristics for each variant.
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, the Q8_0 variant is recommended, while Q2_K and Q3_K variants are suitable for resource-constrained environments.
