Hy3: hardware requirements

Hy3 needs about 187 GB of memory at Q4 quantization — a 182 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters
299B
Tier
Server only
Licence
See model card
Released
2026-04-22

This is a mixture-of-experts model. Only a fraction of its 299B parameters are used for each token, so it runs faster than its size suggests — but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →

Will it run on your machine?

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

QuantDownloadRAM @ 4KRAM @ 32KSource
Q4_K_Mrecommended182 GB187 GB196 GBmeasured
Q5_K_M212 GB216 GB226 GBestimated
Q6_K245 GB250 GB259 GBestimated
Q8_0317 GB322 GB331 GBestimated
BF16598 GB602 GB612 GBestimated

“Measured” sizes are read from published GGUF files (AngelSlim/Hy3-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.

Model card on HuggingFace →API specs & pricing →Verified 2026-09-13Tracked for 12 months after release