Can the GeForce RTX 4090 (used) run Mistral Small 3.2 24B Instruct (2506)?
Fits comfortably at Q4_K_M.
Mistral Small 3.2 24B Instruct (2506) is 24B parameters. At Q4_K_M the weights are about 13.4 GiB; with the 1.5 GiB runtime reserve that is 14.9 GiB against the card's 24GB, leaving about 9.1 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 13.4 GiB | 14.9 GiB | Fits comfortably | 9.1 GiB |
| Q8_0near-lossless | 23.7 GiB | 25.2 GiB | Only with CPU offload | short 1.2 GiB |
| FP16full weights | 44.7 GiB | 46.2 GiB | Only with CPU offload | short 22.2 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
Good match. Get the card.
The GeForce RTX 4090 (used) clears Mistral Small 3.2 24B Instruct (2506) at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Mistral Small 3.2 24B Instruct (2506) by Mistral AI: 131,072-token native context, text + vision, released 2025 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →