Can I Run Phi-4 Family on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
作者： Jakub Rusinowski · 最后更新： 2026年11月11日
Yes, but it is tight
Yes, but it is tight — Phi-4 Reasoning Vision 15B at Q6_K needs about 14.9 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM), leaving only ~1.1 GB before the runtime starts swapping. Expect ~24 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~24 tok/s
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RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) — what it gives a model
| Usable memory for models | 16 GB |
| Memory bandwidth | 448 GB/s |
| Form factor | Desktop |
| Operating system | Windows or Linux |
| Memory upgradeable | Yes |
Phi-4 Family on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM): memory by quantization
| Quant | Memory needed | Fits 16 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 32.7 GB | ✗ No | — | — | 30.2 GB |
| Q8_0 | 18.5 GB | ✗ No | — | — | 16.1 GB |
| Q6_K | 14.9 GB | ✓ Yes | 8K | ~24 tok/s | 12.4 GB |
| Q5_K_M | 13.2 GB | ✓ Yes | 16K | ~27.3 tok/s | 10.7 GB |
| Q4_K_M | 11.6 GB | ✓ Yes | 16K | ~31.3 tok/s | 9.1 GB |
| Q3_K_M | 8.9 GB | ✓ Yes | 16K | ~41.8 tok/s | 6.4 GB |
| Q2_K | 7.4 GB | ✓ Yes | 16K | ~51.2 tok/s | 5 GB |
Which Phi-4 Family sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Phi-4 Reasoning Vision 15B | 11.6 GB | ✓ Fits | ~31.3 tok/s |
| Phi-4 (14B) | 10.9 GB | ✓ Fits | ~33.4 tok/s |
What to watch out for
- Only ~1.1 GB of headroom at Q6_K: a longer context or a second application can push this into swapping.
RTX 5060 Ti 16 GB desktop limitations
- The cheapest current 16 GB card, but its 448 GB/s bandwidth caps generation speed well below a 5080 on the same model.
Recommended setup
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 16 GB of VRAM on the NVIDIA GeForce RTX 5060 Ti 16GB at 448 GB/s.
- 32 GB of system RAM available for CPU offload when a model exceeds VRAM.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Phi-4 Family on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
Yes, but it is tight — Phi-4 Reasoning Vision 15B at Q6_K needs about 14.9 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM), leaving only ~1.1 GB before the runtime starts swapping. Expect ~24 tok/s (estimated), with room for about 8,192 tokens of context.
Which quantization of Phi-4 Family should I use on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
Q6_K — it needs about 14.9 GB of the 16 GB available, downloads as roughly 12.4 GB, and runs at an estimated 24 tokens/sec with up to 8K of context.
What limits Phi-4 Family on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Other Computers
Other Models on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Phi-4 Mini on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Poolside Laguna XS 2.1 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Qwen 2.5 Family on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Qwen 2.5 VL on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Qwen 3 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
Phi-4 Family on GPUs
- Phi-4 Family on NVIDIA GeForce RTX 5080
- Phi-4 Family on NVIDIA GeForce RTX 5070 Ti
- Phi-4 Family on NVIDIA GeForce RTX 5070
- Phi-4 Family on NVIDIA GeForce RTX 5060 Ti 16GB
What This Model Is Good At
Model & Tools
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