Overview
Medium-sized language models, ranging from 7 billion to 13 billion parameters, provide a good balance between performance and resource efficiency.
Key Characteristics
Advantages
- Good performance for most tasks
- Reasonable resource requirements
- Better context understanding
- More reliable outputs
Limitations
- Higher resource needs than small models
- May still struggle with complex reasoning
- Limited by context window
- Moderate costs
Popular Models
| Model | Parameters | Use Cases | Hardware Requirements |
|---|---|---|---|
| LLaMA 2 7B | 7B | General purpose, chat | High-end GPU |
| Mistral 7B | 7B | General purpose, instruction | High-end GPU |
| Falcon 7B | 7B | General purpose, coding | High-end GPU |
Best Use Cases
- General purpose applications
- Chat and conversation
- Content generation
- Basic reasoning tasks