You really don't need models to fit into GPU's anymore for inference, e.g. llama.cpp is pretty good at partial GPU offload and I've gotten pretty fast results with only being able to fit ~30% of a model in VRAM and the rest in DDR5.
Only 21.3GB is required.
Is this wrong? It says 65.8GB. If it's wrong, what source should I be using instead?
Ollama's default quantization is q4_0 which is quite bad, but you can go to ollama's model page to see all the quantizations they have available, you can do e.g. "ollama run qwen2.5-coder:32b-instruct-q8_0" which will need ~35G + space for context