Can RTX 4070 Ti Super 16GB run Phi-4-mini-instruct?
NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth ·
Microsoft · 3.8B · model ctx up to 128K
Yes — the RTX 4070 Ti Super 16GB (16 GB GDDR6X) can run Phi-4-mini-instruct. At Q4 with the default 8K context it needs ≈ 3.85 GB VRAM (weights 2.09 GB + KV cache 0.76 GB + 1 GB runtime overhead), which fits within 16 GB. Decode at Q4/8K: ≈ 112.5 tok/s (estimated, batch 1). FP16 (≈ 9.36 GB) also fits, at ≈ 30.9 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
3.47 GB
Yes
112.5est.
Q4
8K default
3.85 GB
Yes
112.5est.
Q4
32K
6.13 GB
Yes
112.5est.
FP16
4K
8.98 GB
Yes
30.9est.
FP16
8K default
9.36 GB
Yes
30.9est.
FP16
32K
11.64 GB
Yes
30.9est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).