picksbycard
August 23, 2026No. 113
GeForce RTX 5070 Ti · 16GB GDDR7

Can the GeForce RTX 5070 Ti run Mistral Small 3.2 24B Instruct (2506)?

Fits, tight on context 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 16GB, leaving about 1.1 GiB for context.

All three quants

16GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant13.4 GiB14.9 GiBFits, tight on context1.1 GiB
Q8_0near-lossless23.7 GiB25.2 GiBOnly with CPU offloadshort 9.2 GiB
FP16full weights44.7 GiB46.2 GiBDoes not fitshort 30.2 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 5070 Ti 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 →

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