Microsoft on NVIDIA Blackwell

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

Not at Q4_K_M — it needs 10.8 GB against 10.5 GB available. Drop to Q4_K_S and it fits, at about 50.3 tokens per second.

Won't fit

10.8 GB of 10.5 GB · 103%
011 GB
Weights 8.4 GB
KV cache 1.6 GB
Runtime overhead 0.8 GB
Over the limit 0.3 GB

Short by 0.3 GB. You can run it with 38 of 40 layers on the RTX 5070 and the rest in system RAM, at roughly 32.6 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation32.6tok/s
Prompt processing886tok/s
Max context6Ktokens
KV per 1K tokens0GB

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

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 1.99
INT8 / W8A8 8.50 14.3 GB 16.7 GB Won't fit 5.56
Q8_0 (GGUF) 8.50 14.3 GB 16.7 GB Won't fit 5.56
FP8 (E4M3) 8.00 13.7 GB 16.1 GB Won't fit 6.07
Q6_K 6.56 11.2 GB 13.6 GB Won't fit 9.57
Q5_K_M 5.67 9.7 GB 12.1 GB Won't fit 15.8
Q5_K_S 5.52 9.4 GB 11.8 GB Won't fit 1K 17.8
AWQ 4-bit 4.25 8.7 GB 11.1 GB Won't fit 5K 27.2
GPTQ 4-bit 4.25 8.7 GB 11.1 GB Won't fit 5K 27.2
MXFP4 4.25 8.7 GB 11.1 GB Won't fit 5K 27.2
Q4_K_M 4.85 8.4 GB 10.8 GB Won't fit 6K 32.6
Q4_K_S 4.58 7.9 GB 10.3 GB Fits, but tight 9K 50.3
Q4_0 4.55 7.9 GB 10.3 GB Fits, but tight 9K 50.5
IQ4_XS 4.25 7.4 GB 9.8 GB Fits, but tight 11K 53.4
Q3_K_M 3.91 6.9 GB 9.3 GB Runs comfortably 14K 57.2
IQ3_M 3.70 6.5 GB 8.9 GB Runs comfortably 16K 59.7
IQ3_XXS 3.06 5.5 GB 7.9 GB Runs comfortably 16K 69.2
Q2_K 2.63 4.8 GB 7.2 GB Runs comfortably 16K 77.5
IQ2_XXS 2.06 3.9 GB 6.3 GB Runs comfortably 16K 92.1
IQ1_M 1.75 3.4 GB 5.8 GB Runs comfortably 16K 103

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