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Can the NVIDIA RTX 4070 Super run Mixtral 8x7B?

RTX 4070 Super × Mixtral 8x7B8K context
NoDoes not fit in memory
Memory at Q4_K_M30 GB of 12 GB
Weights 28.3 GBKV cache 1.1 GBRuntime 0.6 GB
On the GPU36%of the Q4_K_M weights
In system RAM18 GBthe rest spills over
Offload speed~6.8tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, Mixtral 8x7B needs about 30 GB, but the NVIDIA RTX 4070 Super has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run mixtral:8x7b

At Q4_K_M it needs about 30 GB, so pick a GPU with at least 32 GB.

New to this? Step-by-step setup for the RTX 4070 Super

Run it in the cloud

Too big for the NVIDIA RTX 4070 Super? Run Mixtral 8x7B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 4070 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality95.1 GBToo big—
Q8_0Near-lossless51.3 GBToo big—
Q6_KExcellent40 GBToo big—
Q5_K_MVery good34.9 GBToo big—
Q4_K_MGood, most popular30 GBToo big—
Q3_K_MNoticeably degraded24.5 GBToo big—
Q2_KHeavily degraded19.2 GBToo big—

Measured speed from real RTX 4070 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4070 Super, next to our estimate.

No one has measured Mixtral 8x7B on the NVIDIA RTX 4070 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070 Super? Add your real speed

One command times Mixtral 8x7B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- mixtral:8x7b

Windows (PowerShell)

$env:GPUFIT_MODEL="mixtral:8x7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Mixtral 8x7B comfortably

Check Radeon AI PRO R9700 prices

Models that run well on the NVIDIA RTX 4070 Super

Frequently asked questions

Can NVIDIA RTX 4070 Super run Mixtral 8x7B?

No. Even at Q4_K_M, Mixtral 8x7B needs about 30 GB, but the NVIDIA RTX 4070 Super has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does Mixtral 8x7B need?

About 30 GB at Q4_K_M with 8,192 tokens of context, and about 95.1 GB at full FP16 precision.

How fast is Mixtral 8x7B on the NVIDIA RTX 4070 Super?

It does not fit in the NVIDIA RTX 4070 Super's memory, so most layers would run from system RAM and generation would be very slow.