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Can the NVIDIA RTX 3090 run Mixtral 8x7B?

RTX 3090 × Mixtral 8x7B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K19.2 GB of 24 GB
Weights 17.5 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Memory19.2 GBof 24 GB usable
Speed~116tokens 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

Only just. Mixtral 8x7B fits on the NVIDIA RTX 3090 at Q2_K, which costs noticeable quality. Expect about 116 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default mixtral:8x7b download is Q4_K_M, which needs about 30 GB, more than the 24 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

Run it in the cloud

Want full quality? Run Mixtral 8x7B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24 GB the NVIDIA RTX 3090 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 GBFits~116 tok/s

GPUs that run Mixtral 8x7B comfortably

Check NVIDIA RTX 5090 prices

Models that run well on the NVIDIA RTX 3090

Frequently asked questions

Can NVIDIA RTX 3090 run Mixtral 8x7B?

Only just. Mixtral 8x7B fits on the NVIDIA RTX 3090 at Q2_K, which costs noticeable quality. Expect about 116 tokens/second. A card with more memory is a better experience.

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 3090?

Roughly 116 tokens per second at Q2_K, estimated from the NVIDIA RTX 3090's 936 GB/s memory bandwidth.