Question 1

How much VRAM does Hy4-preview need?

Accepted Answer

Hy4-preview (780B) requires approximately 1698.2669998168944 GB of VRAM at full precision (FP16), 849.1 GB at 8-bit quantization (Q8), and 424.6 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run Hy4-preview?

Accepted Answer

We currently have no compatible GPUs indexed for Hy4-preview. This may be because the model's VRAM requirements exceed available GPUs in our database, or VRAM data hasn't been computed yet.

Question 3

What is the cheapest GPU to run Hy4-preview?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with Hy4-preview. Cloud pricing data is updated regularly — check back soon.

Question 4

Can Hy4-preview run on consumer hardware?

Accepted Answer

Hy4-preview requires approximately 1698.2669998168944 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 424.6 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so Hy4-preview requires datacenter or cloud GPUs.

Question 5

What quantization options are available for Hy4-preview?

Accepted Answer

Hy4-preview supports the following quantization levels: FP16 (full precision): ~1698.2669998168944 GB, Q8 (8-bit): ~849.1 GB, Q6 (6-bit): ~636.9 GB, Q4 (4-bit): ~424.6 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression. As a Mixture of Experts (MoE) model with 256 experts (8 active), Hy4-preview has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

Hy4-preview

VRAM Requirements

Compatible GPUs

Hy4-preview FAQ

VRAM requirements for Hy4-preview at different quantization levels
Quantization	VRAM Required
FP16	1698.3 GB
Q8	849.1 GB
Q6	636.9 GB
Q4	424.6 GB