Home / Models / Mistral Small 24B Instruct / NVIDIA RTX 5090 32 GB

Calculated memory fit · not a benchmark

Can Mistral Small 24B Instruct run on NVIDIA RTX 5090 32 GB?

Yes. Calculated memory fit: Mistral Small 24B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Mistral Small 24B Instruct · 24B
GPU
NVIDIA RTX 5090 32 GB · 32 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights13.8 GB
KV cache1.3 GB
Runtime reserve1.2 GB
Safety margin0.7 GB
Required (estimated)17.0 GB
GPU usable VRAM28.8 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K
BF16OffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsFits
Q4FitsFitsFitsFitsFits
Q5FitsFitsFitsFitsFits
Q6FitsFitsFitsFitsFits
Q8FitsFitsLimited contextLimited contextLimited context

What fits entirely in VRAM?

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

Sources

Model: official config mistralai/Mistral-Small-24B-Instruct-2501 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_WITH_LIMITED_CONTEXT. Amazon: affiliate commerce match, not a spec source.