WestKunai-Hermes-10.7b-test-GGUF
| Property | Value |
|---|---|
| Parameter Count | 10.7B |
| License | CC-BY-NC-4.0 |
| Base Model | seyf1elislam/WestKunai-Hermes-10.7b-test |
| Quantized By | mradermacher |
What is WestKunai-Hermes-10.7b-test-GGUF?
WestKunai-Hermes-10.7b-test-GGUF is a quantized version of the original WestKunai-Hermes model, optimized for efficient deployment while maintaining performance. This model offers various quantization levels, from highly compressed 4.1GB versions to full 21.6GB implementations, allowing users to balance between model size and quality based on their specific needs.
Implementation Details
The model is available in multiple GGUF quantization formats, ranging from Q2_K to f16, each offering different trade-offs between size and quality. Notable variants include the recommended Q4_K_S (6.2GB) and Q4_K_M (6.6GB) versions, which provide a good balance of speed and quality.
- Multiple quantization options from 4.1GB to 21.6GB
- Optimized for different use-cases with various compression ratios
- Includes specialized variants for ARM architecture
- Supports efficient inference with GGUF format
Core Capabilities
- Efficient text generation and processing
- Optimized for memory-constrained environments
- Fast inference capabilities, especially in Q4_K variants
- Multiple deployment options based on hardware constraints
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its variety of quantization options, allowing users to choose the optimal balance between model size and performance. The Q4_K variants are particularly noteworthy for their combination of speed and quality.
Q: What are the recommended use cases?
The model is ideal for deployment scenarios where memory efficiency is crucial. The Q4_K_S and Q4_K_M variants are recommended for general use, while Q8_0 is best for scenarios requiring maximum quality.
