Question 1

How much VRAM does Youtu-LLM-A7B-Base need?

Accepted Answer

Youtu-LLM-A7B-Base (118.4B) requires approximately 266.46043167114254 GB of VRAM at full precision (FP16), 133.2 GB at 8-bit quantization (Q8), and 66.6 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 Youtu-LLM-A7B-Base?

Accepted Answer

We have 1 compatible GPUs indexed for Youtu-LLM-A7B-Base, including MI350X. Compatibility is determined by whether the GPU's VRAM can fit the model's memory footprint, potentially using quantization to reduce memory usage.

Question 3

What is the cheapest GPU to run Youtu-LLM-A7B-Base?

Accepted Answer

The cheapest GPU to run Youtu-LLM-A7B-Base in the cloud is the MI350X at $5.49/hr.  Prices reflect the lowest on-demand rate across cloud providers.

Question 4

Can Youtu-LLM-A7B-Base run on consumer hardware?

Accepted Answer

Youtu-LLM-A7B-Base requires approximately 266.46043167114254 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 66.6 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so Youtu-LLM-A7B-Base requires datacenter or cloud GPUs.

Question 5

What quantization options are available for Youtu-LLM-A7B-Base?

Accepted Answer

Youtu-LLM-A7B-Base supports the following quantization levels: FP16 (full precision): ~266.46043167114254 GB, Q8 (8-bit): ~133.2 GB, Q6 (6-bit): ~99.9 GB, Q4 (4-bit): ~66.6 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), Youtu-LLM-A7B-Base has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

Youtu-LLM-A7B-Base

VRAM Requirements

Compatible GPUs

Youtu-LLM-A7B-Base FAQ

VRAM requirements for Youtu-LLM-A7B-Base at different quantization levels
Quantization	VRAM Required
FP16	266.5 GB
Q8	133.2 GB
Q6	99.9 GB
Q4	66.6 GB