Rent a GPU

Can the NVIDIA RTX 4070 run Mistral Large 4 1T-A52B?

RTX 4070 × Mistral Large 4 1T-A52B8K context
NoDoes not fit in memory
Memory at Q4_K_M607.5 GB of 12 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 4070 has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it in the cloud

Too big for the NVIDIA RTX 4070? Run Mistral Large 4 1T-A52B 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 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 4070 owners

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

No one has measured Mistral Large 4 1T-A52B on the NVIDIA RTX 4070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070? 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 4070

Frequently asked questions

Can NVIDIA RTX 4070 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 4070 has 12 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 4070?

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