Can the RTX 3070 Ti Mobile run Phi-4 Mini?

Yes. Phi-4 Mini fits the RTX 3070 Ti Mobile's 8 GB at Q4_K_M (about 4.3 GB needed), running at an estimated 103 tok/s. There's room for up to FP16 if you want higher quality.

VRAM
8 GB
Needs at Q4
4.3 GB
Headroom
3.7 GB
Speed (Q4_K_M)
~103 tok/s

Every quantization

Phi-4 Mini (3B) on 8 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M2.5 GB4.3 GBFits easily~103 tok/s
Q5_K_M3 GB4.8 GBFits easily~86 tok/s
Q8_04.5 GB6.3 GBFits~57 tok/s
FP166 GB7.8 GBTight~43 tok/s

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 3070 Ti Mobile's 448 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

Run it

Copy, paste, go

ollama run phi-4-mini:3b
llama-server -hf unsloth/Phi-4-mini-instruct-GGUF -ngl 99

Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Phi-4 Mini details →

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Same model, other hardware - and other models on this card

Phi-4 Mini on other hardware

Also runs on the RTX 3070 Ti Mobile

Frequently asked

Quick answers

Can the GeForce RTX 3070 Ti Mobile run Phi-4 Mini?

Yes. Phi-4 Mini fits the RTX 3070 Ti Mobile's 8 GB at Q4_K_M (about 4.3 GB needed), running at an estimated 103 tok/s. There's room for up to FP16 if you want higher quality.

How much VRAM does Phi-4 Mini need?

About 2.5 GB of weights at Q4_K_M, 4.5 GB at Q8_0 and 6 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Phi-4 Mini on the RTX 3070 Ti Mobile?

Roughly 103 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 3070 Ti Mobile's 448 GB/s memory bandwidth.