What GPU do I need to run skt/A.X-K1?

519.0B parameters, published in BF16. View on Hugging Face

519.0B
Parameters
BF16
Native precision
AXK1ForCausalLM
Architecture
text-generation
Pipeline

A.X-K1 is published by skt on Hugging Face, with 11,438 downloads and 295 likes to date. It's a AXK1ForCausalLM model built for text-generation, published natively in BF16.

VRAM required & cheapest live GPU fit

Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.

Precision
Weight size
Required VRAM
Cheapest live fit
GPUs needed
Est. $/hr (full fit)
BF16
966.7 GB
1160.0 GB
No capable live offer found
FP8 (quantized)
483.3 GB
580.0 GB
RTX PRO 6000 (runpod)
7
$11.48/hr
INT4 (quantized)
241.7 GB
290.0 GB
A40 (runpod)
7
$3.08/hr

A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.

INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

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