LLM Hardware Requirements
Running large language models (LLMs) locally requires specific hardware. Here’s a breakdown of the hardware requirements for different LLM sizes:
1. Small Models (7B-13B Parameters)
- CPU: AMD Ryzen 5 5600X or Intel i5-12600K
- GPU: NVIDIA RTX 3060 (12GB VRAM)
- RAM: 32GB DDR4
- Storage: 1TB NVMe SSD
2. Medium Models (30B Parameters)
- CPU: AMD Ryzen 7 7800X or Intel i7-13700K
- GPU: NVIDIA RTX 4070 (12GB VRAM)
- RAM: 64GB DDR5
- Storage: 2TB NVMe SSD
3. Large Models (70B+ Parameters)
- CPU: AMD Ryzen 9 7950X or Intel i9-13900K
- GPU: NVIDIA RTX 4090 (24GB VRAM)
- RAM: 128GB DDR5
- Storage: 4TB NVMe SSD
Key Considerations
- VRAM: The GPU’s VRAM is critical for running larger models.
- RAM: More RAM allows for smoother multitasking and larger datasets.
- Storage: Fast storage (NVMe SSD) reduces loading times for models and datasets.
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