Kimi k3 is natively mxfp4 w/ mxfp8 activations. Since they talk about glm 5.2 running on a 8x b200s, that's likely fp8 since it wouldn't fit at bf16 (1.5TB weights alone)

Solid point. We debated multiple optimization methods and decided to do a more vanilla run first for the setups tested. We’re moving on to some more typical optimization methods for our next article… As soon as our teams comes out a well deserved summer break. Thx for the input.

I second this. Anyone considering running their own hardware would also consider quantization since they would have full control over what quant to run.

The value proposition changes a lot if you can get 90% of the quality for 50% the price with a quant due to halving your hardware requirement.

Thank you for the article, though! Very informative.