Hardware Requirements
Learn what hardware you need for different model sizes and configurations.
Quick Reference Guide
Small Models (3-7B parameters)
[Placeholder: 4-8GB VRAM recommended]
Good for: General chat, simple tasks
Medium Models (13-14B parameters)
[Placeholder: 10-16GB VRAM recommended]
Good for: Complex reasoning, coding
Large Models (30B+ parameters)
[Placeholder: 24GB+ VRAM or RAM fallback]
Good for: Advanced tasks, best quality
VRAM vs RAM: What's the Difference?
🎮 VRAM (GPU Memory)
[Placeholder: Much faster, limited capacity]
- 10-100x faster than RAM
- Best for inference speed
- Limited to GPU capacity
💾 RAM (System Memory)
[Placeholder: Slower but more abundant]
- Much more capacity available
- Fallback for large models
- Slower inference times
Hardware Calculator
[Placeholder: Interactive calculator]
Enter your specs to see what models you can run
Learn More
[Placeholder: GPU architecture for ML]
How GPUs accelerate inference
[Placeholder: Memory requirements explained]
Calculating VRAM needs