Home / Models / Phi-3 Mini 4K Instruct / NVIDIA RTX 2060 6 GB

Calculated memory fit · not a benchmark

Can Phi-3 Mini 4K Instruct run on NVIDIA RTX 2060 6 GB?

Yes. Calculated memory fit: Phi-3 Mini 4K 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
Phi-3 Mini 4K Instruct · 3.8B
GPU
NVIDIA RTX 2060 6 GB · 6 GB advertised

Memory calculation

Breakdown for Q4 at 4K context, batch size 1. Calculator v1.0.0.

Model weights2.2 GB
KV cache1.5 GB
Runtime reserve0.6 GB
Safety margin0.3 GB
Required (estimated)4.7 GB
GPU usable VRAM5.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K
BF16OffloadOffload
FP16OffloadOffload
Q3FitsFits
Q4FitsFits
Q5FitsFits
Q6FitsLimited context
Q8OffloadOffload

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 GeForce RTX 2060 WINDFORCE OC 6G

6 GB · Amazon unmatched

Check availability
MSI

MSI GAMING GeForce RTX 2060 Z 6G

6 GB · Amazon unmatched

Check availability
MSI

MSI VENTUS GeForce RTX 2060 XS 6G OC

6 GB · Amazon unmatched

Check availability
ASUS

ASUS Dual -RTX2060-O6G NVIDIA GeForce RTX 2060 6 GB GDDR6

6 GB · Amazon unmatched

Check availability
MSI

MSI VENTUS GeForce RTX 2060 6G OC

6 GB · Amazon unmatched

Check availability
GIGABYTE

GIGABYTE Geforce RTX 2060 MINI ITX OC 6G

6 GB · Amazon unmatched

Check availability

Sources

Model: official config microsoft/Phi-3-mini-4k-instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.