various-2bit-sota-gguf
| Property | Value |
|---|---|
| Author | ikawrakow |
| Format | GGUF |
| Repository | Hugging Face |
What is various-2bit-sota-gguf?
various-2bit-sota-gguf is a collection of state-of-the-art models converted to GGUF format using an innovative 2-bit quantization approach. This implementation is specifically designed for use with llama.cpp, offering an optimal balance between model size and performance.
Implementation Details
The models utilize a novel 2-bit quantization technique that achieves remarkable efficiency while maintaining model quality. Recent updates have introduced models with 2.3-2.4 bits per weight (bpw), offering reduced quantization error at a modest 10% size increase.
- Compatible with llama.cpp (requires merged PR 4773)
- Newer models require PR 4856
- Achieves 2.3-2.4 bpw in latest versions
- Optimized quantization error vs. size trade-off
Core Capabilities
- Efficient model compression while preserving performance
- Reduced memory footprint through 2-bit quantization
- Optimized for llama.cpp deployment
- Flexible implementation across various model architectures
Frequently Asked Questions
Q: What makes this model unique?
This implementation stands out for its novel 2-bit quantization approach, which achieves significant model compression while maintaining performance. The newer versions with 2.3-2.4 bpw offer even better quantization error metrics.
Q: What are the recommended use cases?
These models are ideal for applications requiring efficient deployment of large language models, particularly in environments with limited computational resources. They're specifically optimized for use with llama.cpp.
