With 80 GB of VRAM, the A100 80GB runs Mistral Small 3.2 24B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 16.1 GB needed). At Q8_0 it fits entirely.
Q4_K_M · 8K context
The model needs about 16.1 GB and fits in the 77.6 GB available, with 61.5 GB to spare.
~16.1 GB (15.5 GB–16.8 GB) needed · estimate
Fits entirely in VRAM · 61.5 GB left
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 · 51–70 tok/s estimate | Excellent |
|---|---|
| Mistral Small 3.2 24B Instruct Q6_K8K~21 GB · 63–89 tok/s estimate | Excellent |
| Mistral Small 3.2 24B Instruct Q5_K_M8K~18.5 GB · 71–101 tok/s estimate | Excellent |
| Mistral Small 3.2 24B Instruct Q4_K_M8K~16.1 GB · 80–116 tok/s estimate | Excellent |
| Mistral Small 3.2 24B Instruct IQ4_XS8K~14.6 GB · 88–128 tok/s estimate | Excellent |
| Mistral Small 3.2 24B Instruct Q3_K_M8K~13.3 GB · 95–140 tok/s estimate | Excellent |
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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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