Orca-2-13B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 13B |
| Base Model | Microsoft/Orca-2-13b |
| License | Microsoft Research License |
| Paper | Research Paper |
| Format | GGUF (Various Quantizations) |
What is Orca-2-13B-GGUF?
Orca-2-13B-GGUF is a quantized version of Microsoft's Orca 2 language model, specifically designed for research purposes and optimized for reasoning tasks. This GGUF version, converted by TheBloke, offers various quantization options ranging from 2-bit to 8-bit precision, making it accessible for different hardware configurations and performance requirements.
Implementation Details
The model is available in multiple GGUF quantization variants, from Q2_K (5.43GB) to Q8_0 (13.83GB), each offering different trade-offs between model size and performance. It uses the ChatML prompt format and can be deployed using various frameworks including llama.cpp, text-generation-webui, and Python libraries like ctransformers.
- Multiple quantization options for different use cases
- Compatible with major deployment frameworks
- Supports GPU acceleration with layer offloading
- Maximum context length adjustable up to 4096 tokens
Core Capabilities
- Advanced reasoning over user-provided data
- Reading comprehension and analysis
- Mathematical problem solving
- Text summarization
- Single-turn response optimization
Frequently Asked Questions
Q: What makes this model unique?
Orca-2-13B-GGUF stands out for its specialized training on synthetic data designed to enhance reasoning abilities in smaller models while maintaining efficient deployment through GGUF quantization options.
Q: What are the recommended use cases?
The model is primarily intended for research purposes, particularly in areas requiring strong reasoning capabilities, reading comprehension, and mathematical problem-solving. It's not recommended for production applications without proper evaluation and safety measures.
