Question 1

How much VRAM does Hy-Embodied-VLM-1.0 need?

Accepted Answer

Hy-Embodied-VLM-1.0 (30.5B) requires approximately 586.3596908569335 GB of VRAM at full precision (FP16), 293.2 GB at 8-bit quantization (Q8), and 146.6 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 Hy-Embodied-VLM-1.0?

Accepted Answer

We currently have no compatible GPUs indexed for Hy-Embodied-VLM-1.0. 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 Hy-Embodied-VLM-1.0?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with Hy-Embodied-VLM-1.0. Cloud pricing data is updated regularly — check back soon.

Question 4

Can Hy-Embodied-VLM-1.0 run on consumer hardware?

Accepted Answer

Hy-Embodied-VLM-1.0 requires approximately 586.3596908569335 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 146.6 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so Hy-Embodied-VLM-1.0 requires datacenter or cloud GPUs.

Question 5

What quantization options are available for Hy-Embodied-VLM-1.0?

Accepted Answer

Hy-Embodied-VLM-1.0 supports the following quantization levels: FP16 (full precision): ~586.3596908569335 GB, Q8 (8-bit): ~293.2 GB, Q6 (6-bit): ~219.9 GB, Q4 (4-bit): ~146.6 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 128 experts (8 active), Hy-Embodied-VLM-1.0 has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

Hy-Embodied-VLM-1.0

VRAM Requirements

Compatible GPUs

Hy-Embodied-VLM-1.0 FAQ

VRAM requirements for Hy-Embodied-VLM-1.0 at different quantization levels
Quantization	VRAM Required
FP16	586.4 GB
Q8	293.2 GB
Q6	219.9 GB
Q4	146.6 GB