Viper-Coder-v1.6-r999-i1-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Type | GGUF Quantized |
| Original Source | prithivMLmods/Viper-Coder-v1.6-r999 |
| Size Range | 3.7GB - 12.2GB |
What is Viper-Coder-v1.6-r999-i1-GGUF?
This is a specialized quantized version of the Viper-Coder model, optimized for coding tasks. It offers various compression formats using both standard (Q) and improved matrix (IQ) quantization techniques, providing different trade-offs between model size, speed, and quality.
Implementation Details
The model comes in multiple quantization variants, ranging from highly compressed 3.7GB versions to high-quality 12.2GB implementations. The IQ (improved matrix) variants often provide better quality than similarly-sized standard quantizations.
- Multiple quantization options from IQ1_S (3.7GB) to Q6_K (12.2GB)
- Optimized for different hardware capabilities and use cases
- Includes both standard and improved matrix quantization techniques
Core Capabilities
- Efficient coding assistance with various compression levels
- Q4_K_M (9.1GB) variant recommended for balanced performance
- IQ3_S variant outperforms standard Q3_K variants
- Q6_K offers near-original model quality
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options, particularly the IQ variants that offer better quality than traditional quantization at similar sizes. The Q4_K_M variant is specifically recommended for optimal speed-quality balance.
Q: What are the recommended use cases?
For most users, the Q4_K_M (9.1GB) variant is recommended as it offers fast performance with good quality. Those with limited resources might consider IQ3 variants, while those prioritizing quality should look at Q5_K or Q6_K variants.
