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Can the NVIDIA RTX 4060 Ti 8GB run Phi-4 Reasoning 14B?

RTX 4060 Ti 8GB × Phi-4 Reasoning 14B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K7.8 GB of 8 GB
Weights 5.5 GBKV cache 1.7 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~31tokens per second
Max context8Ktokens that fit at Q2_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Phi-4 Reasoning 14B fits on the NVIDIA RTX 4060 Ti 8GB at Q2_K, which costs noticeable quality. Expect about 31 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default phi4-reasoning:14b download is Q4_K_M, which needs about 11.2 GB, more than the 8 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4060 Ti 8GB

Run it in the cloud

Want full quality? Run Phi-4 Reasoning 14B on a bigger rented GPU.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 4060 Ti 8GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality31.7 GBToo big—
Q8_0Near-lossless17.9 GBToo big—
Q6_KExcellent14.3 GBToo big—
Q5_K_MVery good12.7 GBToo big—
Q4_K_MGood, most popular11.2 GBToo big—
Q3_K_MNoticeably degraded9.5 GBToo big—
Q2_KHeavily degraded7.8 GBFits~31 tok/s

Measured speed from real RTX 4060 Ti 8GB owners

Tokens per second that people measured on their own NVIDIA RTX 4060 Ti 8GB, next to our estimate.

No one has measured Phi-4 Reasoning 14B on the NVIDIA RTX 4060 Ti 8GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060 Ti 8GB? Add your real speed

One command times Phi-4 Reasoning 14B 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-reasoning:14b

Windows (PowerShell)

$env:GPUFIT_MODEL="phi4-reasoning:14b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Phi-4 Reasoning 14B comfortably

Check RTX 3060 12GB prices

Models that run well on the NVIDIA RTX 4060 Ti 8GB

Frequently asked questions

Can NVIDIA RTX 4060 Ti 8GB run Phi-4 Reasoning 14B?

Only just. Phi-4 Reasoning 14B fits on the NVIDIA RTX 4060 Ti 8GB at Q2_K, which costs noticeable quality. Expect about 31 tokens/second. A card with more memory is a better experience.

How much VRAM does Phi-4 Reasoning 14B need?

About 11.2 GB at Q4_K_M with 8,192 tokens of context, and about 31.7 GB at full FP16 precision.

How fast is Phi-4 Reasoning 14B on the NVIDIA RTX 4060 Ti 8GB?

Roughly 31 tokens per second at Q2_K, estimated from the NVIDIA RTX 4060 Ti 8GB's 288 GB/s memory bandwidth.