Mistral Small 3.2 24B Instruct at Q4_K_M needs about 16.1 GB, more than the 8 GB of the RTX 4060 Ti 8 GB: 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 7.7 GB of VRAM is usable: 8.5 GB must be loaded into system RAM. It runs, 47% on the GPU, but more slowly.
~16.1 GB (15.5 GB–16.8 GB) needed · estimate
8.5 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 · 1–2 tok/s estimate | Possible but slow |
|---|---|
| Mistral Small 3.2 24B Instruct Q6_K8K~21 GB · 1.5–3 tok/s estimate | Possible but slow |
| Mistral Small 3.2 24B Instruct Q5_K_M8K~18.5 GB · 1.8–3.5 tok/s estimate | Possible but slow |
| Mistral Small 3.2 24B Instruct Q4_K_M8K~16.1 GB · 2.5–4.5 tok/s estimate | Possible but slow |
| Mistral Small 3.2 24B Instruct IQ4_XS8K~14.6 GB · 2.5–5 tok/s estimate | CPU/GPU offload |
| Mistral Small 3.2 24B Instruct Q3_K_M8K~13.3 GB · 3.5–6 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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