Models
This guide covers the model management capabilities of the Ollama service.List Models Endpoint
Show Model Info Endpoint
Pull Model Endpoint
Delete Model Endpoint
Available Models
| Model | Size | Description | Use Cases |
|---|---|---|---|
| llama2 | 7B | General purpose model | Text generation, chat, Q&A |
| codellama | 7B | Code-specialized model | Code completion, explanation |
| mistral | 7B | Instruction-tuned model | Task completion, reasoning |
| orca-mini | 3B | Lightweight model | Quick responses, testing |
Usage Examples
List Available Models
Get Model Information
Pull New Model
Delete Model
Model Management Best Practices
-
Model Selection
- Choose appropriate model size for task
- Consider memory and performance requirements
- Test models before production use
- Monitor model performance metrics
-
Resource Management
- Clean up unused models regularly
- Monitor disk space usage
- Implement model rotation policies
- Cache frequently used models
-
Security Considerations
- Verify model checksums
- Use secure connections for pulls
- Implement access controls
- Monitor model usage patterns
-
Performance Optimization
- Pre-load frequently used models
- Use appropriate quantization levels
- Monitor memory usage
- Implement model warm-up strategies
Error Handling
Model Lifecycle Management
-
Initial Setup
- Model selection and testing
- Performance benchmarking
- Resource allocation
- Access control configuration
-
Maintenance
- Regular updates
- Performance monitoring
- Usage analytics
- Health checks
-
Retirement
- Usage evaluation
- Replacement planning
- Data migration
- Clean removal