What GPU do I need to run tencent/Hy4-preview?

780.0B parameters, published in BF16. View on Hugging Face

Set up Hy4-preview
780.0B
Parameters
BF16
Native precision
HYV4ForCausalLM
Architecture
text-generation
Pipeline

Hy4-preview is published by tencent on Hugging Face, with 3,516 downloads and 392 likes to date. It's a HYV4ForCausalLM 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
1452.8 GB
1743.3 GB
No capable live offer found
FP8 (quantized)
726.4 GB
871.7 GB
No capable live offer found
INT4 (quantized)
363.2 GB
435.8 GB
A100 (runpod)
6
$7.14/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 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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