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Can the NVIDIA RTX 4080 run Mistral Large 4 1T-A52B?

RTX 4080 × Mistral Large 4 1T-A52B8K context
NoDoes not fit in memory
Memory at Q4_K_M607.5 GB of 16 GB
Weights 606.3 GBKV cache 0.7 GBRuntime 0.6 GB
  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, Mistral Large 4 1T-A52B needs about 607.5 GB, but the NVIDIA RTX 4080 has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4080 can use.

QuantQualityMemoryFits?Speed
FP16Full quality2001.3 GBToo big—
Q8_0Near-lossless1063.8 GBToo big—
Q6_KExcellent821.3 GBToo big—
Q5_K_MVery good712.5 GBToo big—
Q4_K_MGood, most popular607.5 GBToo big—
Q3_K_MNoticeably degraded490 GBToo big—
Q2_KHeavily degraded376.3 GBToo big—

Measured speed from real RTX 4080 owners

Tokens per second that people measured on their own NVIDIA RTX 4080, next to our estimate.

No one has measured Mistral Large 4 1T-A52B on the NVIDIA RTX 4080 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080? Add your real speed

One command times Mistral Large 4 1T-A52B 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

Windows (PowerShell)

irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Models that run well on the NVIDIA RTX 4080

Frequently asked questions

Can NVIDIA RTX 4080 run Mistral Large 4 1T-A52B?

No. Even at Q4_K_M, Mistral Large 4 1T-A52B needs about 607.5 GB, but the NVIDIA RTX 4080 has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does Mistral Large 4 1T-A52B need?

About 607.5 GB at Q4_K_M with 8,192 tokens of context, and about 2001.3 GB at full FP16 precision.

How fast is Mistral Large 4 1T-A52B on the NVIDIA RTX 4080?

It does not fit in the NVIDIA RTX 4080's memory, so most layers would run from system RAM and generation would be very slow.