Qwestion-14B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 14.8B |
| License | Apache 2.0 |
| Base Model | CultriX/Qwestion-14B |
| Language | English |
What is Qwestion-14B-GGUF?
Qwestion-14B-GGUF is a sophisticated quantized variant of the CultriX/Qwestion-14B model, offering multiple compression levels to suit different hardware capabilities and use cases. This model represents a significant advancement in making large language models more accessible through efficient compression techniques.
Implementation Details
The model is available in various quantization formats ranging from Q2_K (5.9GB) to Q8_0 (15.8GB), each offering different trade-offs between model size and performance. Notable implementations include the recommended Q4_K variants, which provide an optimal balance of speed and quality, and the Q6_K version known for very good quality output.
- Multiple quantization options (Q2_K through Q8_0)
- IQ4_XS variant for specialized use cases
- Optimized ARM performance with Q4_0_4_4 variant
- Fast and recommended Q4_K_S/M variants
Core Capabilities
- Efficient compression while maintaining model performance
- Flexible deployment options across different hardware configurations
- Optimized for conversational tasks
- Support for transformer-based architecture
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive range of quantization options, allowing users to choose the optimal balance between model size and performance for their specific use case. The availability of both standard and IQ-quants provides exceptional flexibility.
Q: What are the recommended use cases?
The model is particularly well-suited for conversational applications where efficient deployment is crucial. The Q4_K variants are recommended for general use, while Q6_K and Q8_0 are ideal for applications requiring higher quality output.
