Home / Models / Mistral Small 3.2 24B Instruct / NVIDIA RTX 4060 Ti 16 GB

Calculated memory fit · performance is a separate section

Can Mistral Small 3.2 24B Instruct run on NVIDIA RTX 4060 Ti 16 GB?

Yes. Calculated memory fit: Mistral Small 3.2 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 3.2 24B Instruct · 24B
GPU
NVIDIA RTX 4060 Ti 16 GB · 16 GB advertised

What else can NVIDIA RTX 4060 Ti 16 GB run? · Find other GPUs for Mistral Small 3.2 24B Instruct

Memory calculation

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

Model weights14.1 GB
KV cache1.3 GB
Runtime reserve1.2 GB
Safety margin0.7 GB
Required (estimated)17.2 GB
GPU usable VRAM14.4 GB

Result: CPU RAM OFFLOAD REQUIRED

Quantization table

Quantization2K4K8K16K32K64K128K
BF16NoNoNoNoNoNoNo
FP16NoNoNoNoNoNoNo
Q3FitsFitsFitsLimited contextLimited contextLimited contextLimited context
Q4OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q5OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q6OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffloadOffloadOffloadOffload

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.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

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-3.2-24B-Instruct-2506 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.