Microsoft Orca 2
Teaching Small Language Models How to Reason.
Overview
Orca 2 is a family of small language models (7B and 13B parameters) from Microsoft Research that are designed to have enhanced reasoning abilities, typically found only in much larger models. Orca 2 models are created by fine-tuning Llama 2 base models on high-quality synthetic data that teaches them various reasoning techniques. They are intended for research purposes to explore the capabilities of smaller LMs.
✨ Key Features
- Enhanced reasoning abilities in small models
- Taught to use different solution strategies for different tasks
- Fine-tuned from Llama 2 base models
- Available in 7B and 13B parameter sizes
- Openly available for research purposes
🎯 Key Differentiators
- Focus on teaching reasoning strategies to small models
- Use of high-quality synthetic data for training
Unique Value: Demonstrates that smaller language models can achieve strong reasoning abilities through innovative training methods.
🎯 Use Cases (4)
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Downstream applications without further safety analysis
🏆 Alternatives
Offers a unique approach to improving the reasoning of small models, not just their knowledge.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Available for research purposes.
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