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Can the NVIDIA RTX 4070 Ti Super run Phi-4 Mini 3.8B?

RTX 4070 Ti Super × Phi-4 Mini 3.8B8K context
YesRuns fully on the GPU
Memory at FP169.4 GB of 16 GB
Weights 7.7 GBKV cache 1.1 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~53tokens per second
Max context56Ktokens that fit at FP16
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 4070 Ti Super can run Phi-4 Mini 3.8B fully in VRAM at FP16 (full quality), using about 9.4 GB of the 16 GB available, at roughly 53 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Phi-4 Mini 3.8B:

ollama run phi4-mini:3.8b

Ollama's default download is Q4_K_M (about 4 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4070 Ti Super

Run it in the cloud

No NVIDIA RTX 4070 Ti Super? Run Phi-4 Mini 3.8B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality9.4 GBFits~53 tok/s
Q8_0Near-lossless5.8 GBFits~99 tok/s
Q6_KExcellent4.8 GBFits~128 tok/s
Q5_K_MVery good4.4 GBFits~148 tok/s
Q4_K_MGood, most popular4 GBFits~173 tok/s
Q3_K_MNoticeably degraded3.6 GBFits~215 tok/s
Q2_KHeavily degraded3.1 GBFits~280 tok/s

Measured speed from real RTX 4070 Ti Super owners

Tokens per second that people measured on their own NVIDIA RTX 4070 Ti Super, next to our estimate.

No one has measured Phi-4 Mini 3.8B on the NVIDIA RTX 4070 Ti Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070 Ti Super? Add your real speed

One command times Phi-4 Mini 3.8B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- phi4-mini:3.8b

Windows (PowerShell)

$env:GPUFIT_MODEL="phi4-mini:3.8b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Phi-4 Mini 3.8B comfortably

Models that run well on the NVIDIA RTX 4070 Ti Super

Frequently asked questions

Can NVIDIA RTX 4070 Ti Super run Phi-4 Mini 3.8B?

Yes. The NVIDIA RTX 4070 Ti Super can run Phi-4 Mini 3.8B fully in VRAM at FP16 (full quality), using about 9.4 GB of the 16 GB available, at roughly 53 tokens/second.

How much VRAM does Phi-4 Mini 3.8B need?

About 4 GB at Q4_K_M with 8,192 tokens of context, and about 9.4 GB at full FP16 precision.

How fast is Phi-4 Mini 3.8B on the NVIDIA RTX 4070 Ti Super?

Roughly 53 tokens per second at FP16, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.