This infographic was created with Google Gemini. The explain buttons need work but the main point is to show the laptop installation requirements for LLaMA, which it does.
LLaMA Laptop Installation Requirements
A quick guide to running large language models on your personal machine.
Suitable for Laptops
For smooth operation, focus on the smaller models.
- 7B & 13B Models: Best for laptops.
- RAM: 16GB+ (more is better).
- CPU: Modern multi-core CPU.
- GPU: Dedicated GPU (NVIDIA RTX, Apple M-series) highly recommended.
Not for Standard Laptops
These models require professional-grade hardware.
- 34B & 70B Models: Not for standard laptops.
- RAM: 48-64GB+ required.
- GPU VRAM: 24GB+ needed.
- Typical Machine: Found in workstations or servers.
Storage and Software Essentials
Operating System
Works on Windows, macOS, or Linux.
Key Frameworks
llama.cpp, Hugging Face Transformers, PyTorch.
Storage Space
Model weights need significant disk space.
- 7B model: ~13GB
- 13B model: ~24GB
- 70B model: ~120GB
Practical Considerations
Performance
GPU acceleration is key for interactive use. CPU-only will be much slower.
Fine-Tuning
Adapter-based methods like LoRA can make fine-tuning feasible on laptops.
Safety & Licensing
Always download from official sources and comply with licensing guidelines.