Can you run Mixtral 8X7B locally?

Mixtral family · · 46.7B parameters (12.9B activated per token) · Hugging Face model card

How much VRAM does Mixtral 8X7B need at each quantization?

Mixtral 8X7B needs 30.8 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (32 layers, 8 KV heads, head dim). Source: HF-verified 2026-09-12 via api (params=46.7B ctx=32768 license=apache-2.0); VRAM figures are documented calculations, not measurements

Which GPUs can run Mixtral 8X7B locally?

At Q4_K_M with a 4k context, Mixtral 8X7B needs 30.8 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Mixtral 8X7B comfortably (25%+ VRAM headroom)

Minimum GPUs that fit Mixtral 8X7B at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

Needs 2+ GPUs to run Mixtral 8X7B

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 30.8 GB requirement. See our multi-GPU guide for setup.

Can a Mac run Mixtral 8X7B?

Yes — these Apple Silicon machines fit Mixtral 8X7B at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Can Mixtral 8X7B run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Mixtral 8X7B at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

Which pre-built systems can run Mixtral 8X7B?

These mini PCs and workstations from our database fit Mixtral 8X7B at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

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