What GPU do I need to run tencent/Hy4-preview-FP8?

803.5B parameters, published in F8_E4M3. View on Hugging Face

Set up Hy4-preview-FP8
803.5B
Parameters
F8_E4M3
Native precision
HYV4ForCausalLM
Architecture
text-generation
Pipeline

Hy4-preview-FP8 is published by tencent on Hugging Face, with 1,694 downloads and 19 likes to date. It's a HYV4ForCausalLM model built for text-generation, published natively in F8_E4M3.

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)
FP8 (native)
748.3 GB
898.0 GB
No capable live offer found
INT4 (quantized)
374.2 GB
449.0 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.

More tencent models

Ready when you are

Your next GPU already
has your environment on it.

Sign up in 60 seconds. Pay for the GPU minutes you actually use.

© 2026 Aquanode. All rights reserved.

All trademarks, logos and brand names are the property of their respective owners.