Question 1

How much VRAM does Mixtral-8x22B-Instruct-v0.1 need?

Accepted Answer

Mixtral-8x22B-Instruct-v0.1 (140.6B) requires approximately 314.3327041625976 GB of VRAM at full precision (FP16), 157.2 GB at 8-bit quantization (Q8), and 78.6 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 Mixtral-8x22B-Instruct-v0.1?

Accepted Answer

We currently have no compatible GPUs indexed for Mixtral-8x22B-Instruct-v0.1. 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 Mixtral-8x22B-Instruct-v0.1?

Accepted Answer

We don't currently have cloud pricing data for GPUs compatible with Mixtral-8x22B-Instruct-v0.1. Cloud pricing data is updated regularly — check back soon.

Question 4

Can Mixtral-8x22B-Instruct-v0.1 run on consumer hardware?

Accepted Answer

Mixtral-8x22B-Instruct-v0.1 requires approximately 314.3327041625976 GB of VRAM at FP16, and even with 4-bit quantization (Q4) it needs about 78.6 GB. This exceeds the 24 GB available on the highest-end consumer GPU (RTX 4090), so Mixtral-8x22B-Instruct-v0.1 requires datacenter or cloud GPUs.

Question 5

What quantization options are available for Mixtral-8x22B-Instruct-v0.1?

Accepted Answer

Mixtral-8x22B-Instruct-v0.1 supports the following quantization levels: FP16 (full precision): ~314.3327041625976 GB, Q8 (8-bit): ~157.2 GB, Q6 (6-bit): ~117.9 GB, Q4 (4-bit): ~78.6 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 8 experts (2 active), Mixtral-8x22B-Instruct-v0.1 has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

Mixtral-8x22B-Instruct-v0.1

VRAM Requirements

Compatible GPUs

Mixtral-8x22B-Instruct-v0.1 FAQ

VRAM requirements for Mixtral-8x22B-Instruct-v0.1 at different quantization levels
Quantization	VRAM Required
FP16	314.3 GB
Q8	157.2 GB
Q6	117.9 GB
Q4	78.6 GB