Glowing-Forest-12B-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | Ateron/Glowing-Forest-12B |
| Format | GGUF |
| Size Range | 4.9GB - 13.1GB |
What is Glowing-Forest-12B-GGUF?
Glowing-Forest-12B-GGUF is a quantized version of the original Glowing-Forest-12B model, optimized for efficient deployment while maintaining performance. It offers multiple quantization variants to suit different hardware capabilities and use-case requirements.
Implementation Details
The model provides various quantization options, from highly compressed Q2_K (4.9GB) to high-quality Q8_0 (13.1GB). Notable implementations include the recommended Q4_K_S and Q4_K_M variants, which offer an excellent balance between speed and quality at 7.2GB and 7.6GB respectively.
- Multiple quantization options (Q2_K through Q8_0)
- IQ4_XS variant available for specific use cases
- Optimized Q6_K version for very good quality at 10.2GB
- Q8_0 variant offering the best quality at 13.1GB
Core Capabilities
- Efficient deployment with various compression levels
- Fast inference with recommended Q4_K variants
- Flexible size options for different hardware constraints
- Quality-optimized variants for high-performance requirements
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its range of quantization options, allowing users to choose the optimal balance between model size, inference speed, and quality. The availability of both standard and IQ-quants provides additional flexibility for specific use cases.
Q: What are the recommended use cases?
For most applications, the Q4_K_S (7.2GB) or Q4_K_M (7.6GB) variants are recommended as they offer fast inference with good quality. For highest quality requirements, the Q8_0 variant is recommended, while resource-constrained environments might benefit from the smaller Q2_K or Q3_K_S variants.
