Can the NVIDIA RTX 5070 run Mistral Small 3.2 24B?

RTX 5070 × Mistral Small 3.2 24B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K10.9 GB of 12 GB
Weights 9 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~45tokens per second
Max context13Ktokens that fit at Q2_K
  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. Mistral Small 3.2 24B fits on the NVIDIA RTX 5070 at Q2_K, which costs noticeable quality. Expect about 45 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default mistral-small3.2:24b download is Q4_K_M, which needs about 16.5 GB, more than the 12 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 5070

Run it in the cloud

Want full quality? Run Mistral Small 3.2 24B on a bigger rented GPU.

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

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 5070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality49.9 GBToo big—
Q8_0Near-lossless27.4 GBToo big—
Q6_KExcellent21.6 GBToo big—
Q5_K_MVery good19 GBToo big—
Q4_K_MGood, most popular16.5 GBToo big—
Q3_K_MNoticeably degraded13.7 GBToo big—
Q2_KHeavily degraded10.9 GBFits~45 tok/s

Measured speed from real RTX 5070 owners

Tokens per second that people measured on their own NVIDIA RTX 5070, next to our estimate.

No one has measured Mistral Small 3.2 24B on the NVIDIA RTX 5070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5070? Add your real speed

One command times Mistral Small 3.2 24B 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 -- mistral-small3.2:24b

Windows (PowerShell)

$env:GPUFIT_MODEL="mistral-small3.2:24b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can NVIDIA RTX 5070 run Mistral Small 3.2 24B?

Only just. Mistral Small 3.2 24B fits on the NVIDIA RTX 5070 at Q2_K, which costs noticeable quality. Expect about 45 tokens/second. A card with more memory is a better experience.

How much VRAM does Mistral Small 3.2 24B need?

About 16.5 GB at Q4_K_M with 8,192 tokens of context, and about 49.9 GB at full FP16 precision.

How fast is Mistral Small 3.2 24B on the NVIDIA RTX 5070?

Roughly 45 tokens per second at Q2_K, estimated from the NVIDIA RTX 5070's 672 GB/s memory bandwidth.