Mistral Small 3.2 24B Instruct at Q4_K_M needs about 16.1 GB, more than the 12 GB of the RTX 4070: part of the model runs from system RAM, which slows generation. At Q3_K_M it does not fit in VRAM.
Q4_K_M · 8K context
The model needs about 16.1 GB but only 11.6 GB of VRAM is usable: 4.5 GB must be loaded into system RAM. It runs, 72% on the GPU, but more slowly.
~16.1 GB (15.5 GB–16.8 GB) needed · estimate
4.5 GB must be offloaded to system RAM
EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card
What makes this estimate less reliable
| Mistral Small 3.2 24B Instruct Q8_08K~26.6 GB · 1.3–2.5 tok/s estimate | Possible but slow |
|---|---|
| Mistral Small 3.2 24B Instruct Q6_K8K~21 GB · 2–4 tok/s estimate | Possible but slow |
| Mistral Small 3.2 24B Instruct Q5_K_M8K~18.5 GB · 2.5–5 tok/s estimate | CPU/GPU offload |
| Mistral Small 3.2 24B Instruct Q4_K_M8K~16.1 GB · 4–7.5 tok/s estimate | CPU/GPU offload |
| Mistral Small 3.2 24B Instruct IQ4_XS8K~14.6 GB · 5.5–11 tok/s estimate | CPU/GPU offload |
| Mistral Small 3.2 24B Instruct Q3_K_M8K~13.3 GB · 8.5–16 tok/s estimate | CPU/GPU offload |
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AMD
ExcellentRuns Mistral Small 3.2 24B Instruct Q4_K_M entirely in memory
Unified memory PC
ExcellentRuns Mistral Small 3.2 24B Instruct Q4_K_M entirely in memory
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