Will It Run?
Input your target model size and see exactly how much VRAM you need before you buy hardware.
1. Select Model Size
2. Select Quantization
Required_VRAM
8GB
Entry Level (RTX 3060/4070)
Includes 10% safety buffer for System Overhead + Context Window (KV Cache).
Architect's Logic
Our calculator uses the standard formula: (Parameters * Bits) / 8. We then append a hardware overhead factor. If your model size exceeds your available VRAM, inference speed will drop by orders of magnitude as data spills into system RAM.
For optimal performance with large models like Llama 3.3 (70B), we recommend at least 48GB of VRAM (Dual RTX 3090/4090) to maintain high tokens-per-second while supporting larger context windows.