Can the NVIDIA RTX 4070 run Mistral Small 24B?

Yes, with heavy quantization
QuantQ2_KHeavily degraded
Memory10.8 GBof 12 GB
Speed~34tokens/s

Only just. Mistral Small 24B fits on the NVIDIA RTX 4070 at Q2_K, which costs noticeable quality. Expect about 34 tokens/second. A card with more memory is a better experience.

Try other context lengths in the calculator →
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Memory needed by quantization

At 8,192 tokens of context.

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 GBToo big—
Q2_KHeavily degraded10.8 GBFits~34 tok/s

How to run Mistral Small 24B on the NVIDIA RTX 4070

Ollama's default mistral-small:24b download is Q4_K_M, which needs about 16.2 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.

GPUs that run Mistral Small 24B comfortably

Check NVIDIA RTX 3090 prices →

Models that run well on the NVIDIA RTX 4070