Home / Models / Llama 3.2 1B Instruct / NVIDIA GTX 1660 Ti 6 GB

Calculated memory fit · not a benchmark

Can Llama 3.2 1B Instruct run on NVIDIA GTX 1660 Ti 6 GB?

Yes. Calculated memory fit: Llama 3.2 1B 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 1B Instruct · 1.2B
GPU
NVIDIA GTX 1660 Ti 6 GB · 6 GB advertised

Memory calculation

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

Model weights0.7 GB
KV cache0.3 GB
Runtime reserve0.5 GB
Safety margin0.3 GB
Required (estimated)1.8 GB
GPU usable VRAM5.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K64K128K
BF16FitsFitsFitsFitsFitsFitsLimited context
FP16FitsFitsFitsFitsFitsFitsLimited context
Q3FitsFitsFitsFitsFitsFitsFits
Q4FitsFitsFitsFitsFitsFitsLimited context
Q5FitsFitsFitsFitsFitsFitsLimited context
Q6FitsFitsFitsFitsFitsFitsLimited context
Q8FitsFitsFitsFitsFitsFitsLimited 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

GIGABYTE

GIGABYTE GAMING GeForce GTX 1660 Ti OC 6G

6 GB · Amazon unmatched

Check availability
MSI

MSI ARMOR GeForce GTX 1660 Ti 6G OC

6 GB · Amazon unmatched

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MSI

MSI VENTUS GeForce GTX 1660 Ti XS 6G OC

6 GB · Amazon unmatched

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GIGABYTE

GIGABYTE GeForce GTX 1660 Ti MINI ITX OC 6G

6 GB · Amazon unmatched

Check availability
MSI

MSI GAMING GeForce GTX 1660 Ti X 6G

6 GB · Amazon unmatched

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GIGABYTE

GIGABYTE AORUS GeForce GTX 1660 Ti 6G

6 GB · Amazon unmatched

Check availability

Sources

Model: official config meta-llama/Llama-3.2-1B-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.