Microsoft on NVIDIA Blackwell

Can I run Phi-4 14B on an RTX 5070 Ti?

Yes. Phi-4 14B at Q4_K_M uses 10.8 GB of the 14.2 GB available on a RTX 5070 Ti, and runs at about 63.7 tokens per second. You can push the context to 16K.

Runs comfortably

10.8 GB of 14.2 GB · 76%
014 GB
Weights 8.4 GB
KV cache 1.6 GB
Runtime overhead 0.8 GB

Phi-4 14B at Q4_K_M leaves 3.5 GB spare on a RTX 5070 Ti. There is room to raise the context length or move up a quantisation level.

Generation63.7tok/s
Prompt processing1257tok/s
Max context16Ktokens
KV per 1K tokens0GB

Every quantisation of Phi-4 14B on a RTX 5070 Ti

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 27.4 GB 29.8 GB Won't fit — 2.47
INT8 / W8A8 8.50 14.3 GB 16.7 GB Won't fit — 11.9
Q8_0 (GGUF) 8.50 14.3 GB 16.7 GB Won't fit — 11.9
FP8 (E4M3) 8.00 13.7 GB 16.1 GB Won't fit — 13.8
Q6_K 6.56 11.2 GB 13.6 GB Fits, but tight 11K 48.7
Q5_K_M 5.67 9.7 GB 12.1 GB Runs comfortably 16K 55.7
Q5_K_S 5.52 9.4 GB 11.8 GB Runs comfortably 16K 57.1
AWQ 4-bit 4.25 8.7 GB 11.1 GB Runs comfortably 16K 61.7
GPTQ 4-bit 4.25 8.7 GB 11.1 GB Runs comfortably 16K 61.7
MXFP4 4.25 8.7 GB 11.1 GB Runs comfortably 16K 61.7
Q4_K_M 4.85 8.4 GB 10.8 GB Runs comfortably 16K 63.7
Q4_K_S 4.58 7.9 GB 10.3 GB Runs comfortably 16K 66.8
Q4_0 4.55 7.9 GB 10.3 GB Runs comfortably 16K 67.1
IQ4_XS 4.25 7.4 GB 9.8 GB Runs comfortably 16K 71.0
Q3_K_M 3.91 6.9 GB 9.3 GB Runs comfortably 16K 75.9
IQ3_M 3.70 6.5 GB 8.9 GB Runs comfortably 16K 79.3
IQ3_XXS 3.06 5.5 GB 7.9 GB Runs comfortably 16K 91.8
Q2_K 2.63 4.8 GB 7.2 GB Runs comfortably 16K 103
IQ2_XXS 2.06 3.9 GB 6.3 GB Runs comfortably 16K 122
IQ1_M 1.75 3.4 GB 5.8 GB Runs comfortably 16K 136

Also worth checking

Phi-4 14B on every GPU
Full hardware tableEverything that runs on a RTX 5070 Ti
Full model tableWhy the KV cache is the part that bites
Guide