Blagoveshchensk_14B_V3-GGUF
| Property | Value |
|---|---|
| Author | mradermacher |
| Base Model | Blagoveshchensk 14B V3 |
| Format | GGUF |
| Model URL | HuggingFace Repository |
What is Blagoveshchensk_14B_V3-GGUF?
Blagoveshchensk_14B_V3-GGUF is a quantized version of the original Blagoveshchensk 14B V3 model, optimized for efficient local deployment. This version offers multiple quantization options ranging from Q2 to Q8, allowing users to balance between model size and performance based on their specific needs.
Implementation Details
The model provides various quantization levels with different size-performance tradeoffs:
- Q2_K: 5.9GB - Smallest size option
- Q4_K_S/M: 8.7-9.1GB - Fast and recommended for general use
- Q6_K: 12.2GB - Very good quality
- Q8_0: 15.8GB - Fastest with best quality
Core Capabilities
- Multiple quantization options for different use cases
- Optimized for local deployment and inference
- Size options ranging from 5.9GB to 15.8GB
- IQ-quant variants available for better performance
Frequently Asked Questions
Q: What makes this model unique?
This model offers a comprehensive range of quantization options for the Blagoveshchensk 14B V3 base model, making it highly versatile for different deployment scenarios and hardware constraints.
Q: What are the recommended use cases?
The Q4_K_S and Q4_K_M variants (8.7-9.1GB) are recommended for general use, offering a good balance of speed and quality. For highest quality requirements, the Q8_0 variant is recommended, while Q2_K is suitable for resource-constrained environments.
