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Can the NVIDIA RTX 4060 run Phi-4 Mini 3.8B?

RTX 4060 × Phi-4 Mini 3.8B8K context
YesRuns fully on the GPU
Memory at Q8_05.8 GB of 8 GB
Weights 4.1 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~40tokens per second
Max context23Ktokens that fit at Q8_0
  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 4060 can run Phi-4 Mini 3.8B fully in VRAM at Q8_0 (near-lossless), using about 5.8 GB of the 8 GB available, at roughly 40 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 Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4060

Run it in the cloud

No NVIDIA RTX 4060? 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 8 GB the NVIDIA RTX 4060 can use.

QuantQualityMemoryFits?Speed
FP16Full quality9.4 GBToo big—
Q8_0Near-lossless5.8 GBFits~40 tok/s
Q6_KExcellent4.8 GBFits~52 tok/s
Q5_K_MVery good4.4 GBFits~60 tok/s
Q4_K_MGood, most popular4 GBFits~70 tok/s
Q3_K_MNoticeably degraded3.6 GBFits~87 tok/s
Q2_KHeavily degraded3.1 GBFits~113 tok/s

Measured speed from real RTX 4060 owners

Tokens per second that people measured on their own NVIDIA RTX 4060, next to our estimate.

No one has measured Phi-4 Mini 3.8B on the NVIDIA RTX 4060 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060? 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 4060

Frequently asked questions

Can NVIDIA RTX 4060 run Phi-4 Mini 3.8B?

Yes. The NVIDIA RTX 4060 can run Phi-4 Mini 3.8B fully in VRAM at Q8_0 (near-lossless), using about 5.8 GB of the 8 GB available, at roughly 40 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 4060?

Roughly 40 tokens per second at Q8_0, estimated from the NVIDIA RTX 4060's 272 GB/s memory bandwidth.