Home / Models / Qwen2.5 1.5B Instruct / NVIDIA GTX 1060 6 GB

Calculated memory fit · not a benchmark

Can Qwen2.5 1.5B Instruct run on NVIDIA GTX 1060 6 GB?

Yes. Calculated memory fit: Qwen2.5 1.5B 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
Qwen2.5 1.5B Instruct · 1.5B
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 weights0.9 GB
KV cache0.2 GB
Runtime reserve0.5 GB
Safety margin0.3 GB
Required (estimated)1.9 GB
GPU usable VRAM5.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K
BF16FitsFitsFitsFitsFits
FP16FitsFitsFitsFitsFits
Q3FitsFitsFitsFitsFits
Q4FitsFitsFitsFitsFits
Q5FitsFitsFitsFitsFits
Q6FitsFitsFitsFitsFits
Q8FitsFitsFitsFitsFits

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 Qwen/Qwen2.5-1.5B-Instruct (main). 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.