Viper-Coder-v1.6-r999-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Model Format | GGUF |
| Source | HuggingFace |
| Available Formats | Multiple quantizations (Q2_K to Q8_0) |
What is Viper-Coder-v1.6-r999-GGUF?
Viper-Coder-v1.6-r999-GGUF is a specialized quantized model designed for coding tasks, available in various GGUF formats. The model represents a static quantization of the original Viper-Coder, optimized for different performance and size requirements.
Implementation Details
The model comes in multiple quantization versions, ranging from highly compressed (Q2_K at 5.9GB) to high-quality (Q8_0 at 15.8GB). Notable implementations include Q4_K_S and Q4_K_M, which are recommended for their balance of speed and quality, and Q6_K which offers very good quality at 12.2GB.
- Multiple quantization options (Q2_K to Q8_0)
- Size range: 5.9GB to 15.8GB
- Weighted/imatrix quants available separately
- Optimized for different performance needs
Core Capabilities
- Fast execution with Q4_K variants
- Best quality output with Q8_0 quantization
- Balanced performance with Q6_K version
- Efficient memory usage with lower quantization options
Frequently Asked Questions
Q: What makes this model unique?
The model offers a wide range of quantization options, allowing users to choose between size efficiency and quality based on their specific needs. The availability of both static and weighted/imatrix quants provides flexibility in implementation.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_S and Q4_K_M variants are recommended for general use, offering a good balance of speed and quality. For highest quality requirements, the Q8_0 version is recommended, while Q6_K provides very good quality at a lower size requirement.
