WizardLM-2-8x22B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 141B parameters |
| License | Apache 2.0 |
| Author | Microsoft (Original), MaziyarPanahi (GGUF conversion) |
| Research Papers | 3 papers (2304.12244, 2306.08568, 2308.09583) |
What is WizardLM-2-8x22B-GGUF?
WizardLM-2-8x22B-GGUF is a quantized version of Microsoft's powerful 141B parameter language model, optimized for efficient deployment and inference. This version has been converted to the GGUF format, offering various quantization options from 2-bit to 8-bit precision to balance performance and resource usage.
Implementation Details
The model features a sophisticated architecture utilizing the GGUF format, which allows for efficient model loading and inference. It supports sharded loading capabilities and implements specific prompt templates for optimal interaction.
- Multiple quantization options (2-bit to 8-bit precision)
- Sharded model loading support
- Standardized prompt template system
- Optimized for text-generation-inference
Core Capabilities
- Advanced text generation and completion
- Flexible deployment options with various precision levels
- Compatible with text-generation-inference endpoints
- Supports both chat and instruction-following scenarios
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its flexible quantization options and efficient GGUF format implementation, making it possible to run a 141B parameter model with reduced memory requirements while maintaining performance.
Q: What are the recommended use cases?
The model is ideal for production deployments requiring efficient text generation, particularly when resource optimization is crucial. It's suitable for both chat-based applications and general text generation tasks.
