Phi-3 Medium 4K Instruct

Estimated VRAM requirement

Weight memory uses parameter count × bits per weight, plus a quantization overhead factor. KV cache uses standard GQA formulas. Values are calculated estimates, not measured allocations.

Find a GPU for this model

Run at the quantization and context selected below. Defaults are Q4 and 8K when you do not change the controls. Results are full-VRAM fits only — not a speed ranking.

Run at

Q4 · 8K context

Required VRAM

—

No published GPU calculates as a full VRAM fit for Q4 at 8K.

Compatible GPUs

Status is a calculated memory fit against usable VRAM (advertised × 0.9). Open a GPU to see product SKUs and Amazon listings.

Sources

Model specifications: official repository microsoft/Phi-3-medium-4k-instruct · revision main. Compatibility: RigForAI calculator v1.0.0 (estimated VRAM). GPU products: Icecat. Amazon is a separate affiliate match and is not used as a spec source.