Can I Run Qwen 3.5 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?

作者： Jakub Rusinowski · 最后更新： 2026年2月24日

Yes — comfortably

Yes, comfortably — Qwen 3.5 9B at Q8_0 needs about 10.7 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM), leaving ~5.3 GB spare and running at ~32 tok/s (estimated), with room for about 131,072 tokens of context.

Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~32 tok/s

See what else this hardware can run →

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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

Qwen 3.5 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	19.1 GB	✗ No	—	—	18 GB
Q8_0	10.7 GB	✓ Yes	128K	~32 tok/s	9.6 GB
Q6_K	8.5 GB	✓ Yes	128K	~40.4 tok/s	7.4 GB
Q5_K_M	7.5 GB	✓ Yes	128K	~45.9 tok/s	6.4 GB
Q4_K_M	6.6 GB	✓ Yes	128K	~52.7 tok/s	5.4 GB
Q3_K_M	5 GB	✓ Yes	128K	~70.3 tok/s	3.8 GB
Q2_K	4.1 GB	✓ Yes	128K	~86.1 tok/s	3 GB

Which Qwen 3.5 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Qwen 3.5 397B-A17B	244.7 GB	✗ Too large	—
Qwen 3.5 122B-A10B	77.3 GB	✗ Too large	—
Qwen 3.5 35B-A3B	23.8 GB	✗ Too large	—
Qwen 3.5 27B	18.8 GB	✗ Too large	—
Qwen 3.5 9B	6.6 GB	✓ Fits	~52.7 tok/s
Qwen 3.5 4B	3.5 GB	✓ Fits	~101.7 tok/s
Qwen 3.5 2B	2.7 GB	✓ Fits	~144.1 tok/s
Qwen 3.5 0.8B	1.8 GB	✓ Fits	~223.1 tok/s

What to watch out for

4 larger variants of Qwen 3.5 do not fit and would need CPU offload or different hardware.

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.

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