PhantasorV0.4-494M-GGUF
| Property | Value |
|---|---|
| Model Size | 494M parameters |
| Author | mradermacher |
| Original Source | XeTute/PhantasorV0.4-494M |
| Format | GGUF (Various Quantizations) |
What is PhantasorV0.4-494M-GGUF?
PhantasorV0.4-494M-GGUF is a quantized version of the original Phantasor model, specifically optimized for efficient deployment through various compression techniques. This implementation provides multiple quantization options, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model is available in multiple GGUF quantization formats, ranging from highly compressed Q2_K (0.4GB) to full precision f16 (1.1GB). Notable quantization options include the recommended Q4_K_S and Q4_K_M variants, which offer an optimal balance between speed and quality at 0.5GB, and Q8_0 which provides the best quality while maintaining reasonable size at 0.6GB.
- Multiple quantization options (Q2 to Q8)
- Size range: 0.4GB to 1.1GB
- Optimized compression techniques
- Static quantization implementation
Core Capabilities
- Efficient deployment with various compression levels
- Fast inference with Q4_K variants
- High-quality output with Q6_K and Q8_0 options
- Flexible size-quality tradeoff options
Frequently Asked Questions
Q: What makes this model unique?
The model's strength lies in its variety of quantization options, allowing users to choose the perfect balance between model size and performance. The Q4_K variants are particularly notable for their optimal balance of speed and quality.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants (0.5GB) are recommended as they offer fast performance with good quality. For highest quality requirements, the Q8_0 variant (0.6GB) is recommended, while for minimal size requirements, Q2_K or Q3_K_S variants (0.4GB) can be used.
