Home / Models / Llama 3.2 3B Instruct / NVIDIA GTX 1060 6 GB

Calculated memory fit · not a benchmark

Can Llama 3.2 3B Instruct run on NVIDIA GTX 1060 6 GB?

Yes. Calculated memory fit: Llama 3.2 3B 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
Llama 3.2 3B Instruct · 3.2B
GPU
NVIDIA GTX 1060 6 GB · 6 GB advertised

Memory calculation

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

Model weights1.9 GB
KV cache0.9 GB
Runtime reserve0.6 GB
Safety margin0.3 GB
Required (estimated)3.7 GB
GPU usable VRAM5.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K64K128K
BF16OffloadOffloadOffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsLimited contextLimited contextLimited context
Q4FitsFitsFitsFitsLimited contextLimited contextLimited context
Q5FitsFitsFitsFitsLimited contextLimited contextLimited context
Q6FitsFitsFitsFitsLimited contextLimited contextLimited context
Q8FitsFitsFitsLimited contextLimited 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

ASUS

ASUS DUAL-GTX1060-6G NVIDIA GeForce GTX 1060 6 GB GDDR5

6 GB · Amazon unmatched

Check availability
MSI

MSI AERO ITX GeForce GTX 1060 6G OC

6 GB · Amazon unmatched

Check availability
MSI

MSI GeForce GTX 1060 6GT OCV1 NVIDIA 6 GB GDDR5

6 GB · Amazon unmatched

Check availability
MSI

MSI GAMING GeForce GTX 1060 6GB

6 GB · Amazon unmatched

Check availability

Sources

Model: official config meta-llama/Llama-3.2-3B-Instruct (official-fallback-config). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.