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Orca 2 13B

Advanced reasoning capabilities for smaller models.

Developed by Microsoft Research

Official Site
13BParams
YesAPI Available
stableStability
1.0Version
MIT LicenseLicense
PyTorchFramework
NoRuns Locally
Real-World Applications
  • Code completionOptimized Capability
  • Natural language understandingOptimized Capability
  • Conversational agentsOptimized Capability
  • Text summarizationOptimized Capability
Implementation Example
Example Prompt
Explain the steps involved in solving a linear equation.
Model Output
"To solve a linear equation like ax + b = 0, isolate x by subtracting b from both sides yielding ax = -b, then divide both sides by a giving x = -b/a."
Advantages
  • ✓ Utilizes synthetic training data for improved reasoning capabilities.
  • ✓ Supports complex step-by-step deduction processes.
  • ✓ Incorporates self-reflection for enhanced understanding and output quality.
Limitations
  • ✗ Requires substantial computational resources for optimal performance.
  • ✗ May exhibit biases present in synthetic training data.
  • ✗ Limited availability of extensive documentation for specific use cases.
Model Intelligence & Architecture

Technical Documentation

Orca 2.13 B leverages synthetic training data for advanced reasoning strategies, including step-by-step deduction and self-reflection, making it a powerful tool for various applications in AI.

Technical Specification Sheet
Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
No
Release Date
2023-11-01

Best For

Users needing advanced reasoning in conversational AI applications.

Alternatives

ChatGPT, Claude, GPT-3

Pricing Summary

Available under a freemium model, with advanced features requiring a paid subscription.

Compare With

Orca 2 13B vs GPT-3Orca 2 13B vs ClaudeOrca 2 13B vs BERTOrca 2 13B vs ChatGPT

Explore Tags

#ai-models#AI research model

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