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Can the NVIDIA RTX 4060 Ti 16GB run Mistral Small 24B?

RTX 4060 Ti 16GB × Mistral Small 24B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M13.5 GB of 16 GB
Weights 11.5 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Memory13.5 GBof 16 GB usable
Speed~15tokens 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. Mistral Small 24B fits on the NVIDIA RTX 4060 Ti 16GB at Q3_K_M, which costs noticeable quality. Expect about 15 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default mistral-small:24b download is Q4_K_M, which needs about 16.2 GB, more than the 16 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4060 Ti 16GB

Run it in the cloud

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4060 Ti 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality49.1 GBToo big—
Q8_0Near-lossless27 GBToo big—
Q6_KExcellent21.3 GBToo big—
Q5_K_MVery good18.7 GBToo big—
Q4_K_MGood, most popular16.2 GBToo big—
Q3_K_MNoticeably degraded13.5 GBFits~15 tok/s
Q2_KHeavily degraded10.8 GBFits~20 tok/s

Measured speed from real RTX 4060 Ti 16GB owners

Tokens per second that people measured on their own NVIDIA RTX 4060 Ti 16GB, next to our estimate.

No one has measured Mistral Small 24B on the NVIDIA RTX 4060 Ti 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060 Ti 16GB? Add your real speed

One command times Mistral Small 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-small:24b

Windows (PowerShell)

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

How the benchmark works

GPUs that run Mistral Small 24B comfortably

Check NVIDIA RTX 3090 prices

Models that run well on the NVIDIA RTX 4060 Ti 16GB

Frequently asked questions

Can NVIDIA RTX 4060 Ti 16GB run Mistral Small 24B?

Only just. Mistral Small 24B fits on the NVIDIA RTX 4060 Ti 16GB at Q3_K_M, which costs noticeable quality. Expect about 15 tokens/second. A card with more memory is a better experience.

How much VRAM does Mistral Small 24B need?

About 16.2 GB at Q4_K_M with 8,192 tokens of context, and about 49.1 GB at full FP16 precision.

How fast is Mistral Small 24B on the NVIDIA RTX 4060 Ti 16GB?

Roughly 15 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 4060 Ti 16GB's 288 GB/s memory bandwidth.