Orca 2 13B
Microsoft
• Framework: UnknownOrca 2.13 B is a large language model developed by Microsoft Research to enhance reasoning and comprehension in smaller models. Built on top of Meta’s LLaMA 2 architecture, it utilizes synthetic training data to simulate advanced reasoning strategies, including step-by-step deduction and self-reflection. Orca 2 demonstrates strong performance in logic, math, and reading comprehension, closing the gap between smaller open models and much larger proprietary systems. It serves as an open research model for studying how efficient LLMs can reason with minimal computational resources.
Orca 2 13B AI Model
Model Performance Statistics
Views
Released
Last Checked
Version
- Step-by-step reasoning
- Self-refinement
- Tool integration
- Parameter Count
- N/A
Dataset Used
Synthetic reasoning datasets
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