Comment by walrus01

So the 'unsloth' Kimi K3 Q8 quantization is about 1.56TB which is close to the original safetensors file in size, and should be nearly lossless. Realistically with enough context you'd need 2TB total RAM whether it's run on a CPU-only platform (like a dual socket xeon with 1024GB connected to each CPU) or some combination of CPU-connected-RAM and GPUs.

Unsloth Q4 is 1.51TB which doesn't really help much and isn't likely to be any different in performance.

Unsloth Q2-K-XL is 861GB and could possibly fit on 1TB resources but I would want to see a very thorough series of tests to see how much knowledge and capability is lost between it and the full thing.

Using an example from the much smaller gemma 4 31B because it's a decent set of charts I could find quickly, I don't know if anyone has published KL divergence charts for Q4 vs Q4 vs Q8 of Kimi K3:

https://localbench.substack.com/p/gemma-4-31b-gguf-kl-diverg...