Grok-1-GGUF
| Property | Value |
|---|---|
| Parameter Count | 316B |
| License | Apache-2.0 |
| Author | Arki05 |
| Framework | GGUF (llama.cpp compatible) |
What is Grok-1-GGUF?
Grok-1-GGUF is an unofficial GGUF quantization of the Grok-1 model, specifically designed for compatibility with llama.cpp. This implementation offers multiple quantization options to balance performance and resource requirements, with file sizes ranging from 112.4GB to 259.8GB depending on the chosen quantization method.
Implementation Details
The model features native split support in llama.cpp, eliminating the need for manual merging of split files. It comes in four quantization variants: Q2_K, IQ3_XS, Q4_K, and Q6_K, each split into 9 manageable files for easier distribution and handling.
- Native split support with automatic detection and loading
- Direct split download capability from Hugging Face
- Multiple quantization options for different performance/size trade-offs
- Streamlined integration with llama.cpp
Core Capabilities
- Efficient model loading with split file support
- Flexible quantization options (Q2_K through Q6_K)
- Optimized memory usage with GGUF format
- Direct URL loading support
Frequently Asked Questions
Q: What makes this model unique?
This implementation stands out for its efficient GGUF quantization of the massive 316B parameter Grok-1 model, making it accessible for local deployment through llama.cpp. The multiple quantization options and split file support make it particularly practical for different hardware configurations.
Q: What are the recommended use cases?
The author recommends using the IQ3_XS version for optimal balance between performance and resource usage. This version requires 125.4GB of storage and is suitable for users looking to run Grok-1 locally with reasonable performance characteristics.
