Home / Models / Phi-4 / NVIDIA RTX 3080 10 GB

Calculated memory fit · not a benchmark

Can Phi-4 run on NVIDIA RTX 3080 10 GB?

Yes. Calculated memory fit: Phi-4 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-4 · 15B
GPU
NVIDIA RTX 3080 10 GB · 10 GB advertised

Memory calculation

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

Model weights8.6 GB
KV cache1.6 GB
Runtime reserve0.9 GB
Safety margin0.5 GB
Required (estimated)11.6 GB
GPU usable VRAM9.0 GB

Result: CPU RAM OFFLOAD REQUIRED

Quantization table

Quantization2K4K8K16K
BF16NoNoNoNo
FP16NoNoNoNo
Q3FitsFitsLimited contextLimited context
Q4OffloadOffloadOffloadOffload
Q5OffloadOffloadOffloadOffload
Q6OffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffload

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

Sources

Model: official config microsoft/phi-4 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.