Can I Run Poolside Laguna XS 2.1 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
作者： Jakub Rusinowski · 最后更新： 2026年8月15日
Yes
Yes — Laguna XS 2.1 33B-A3B at Q2_K needs about 13.5 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) (~2.5 GB spare), at ~126.1 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: medium · Recommended quantization: Q2_K · Estimated speed: ~126.1 tok/s
See what else this hardware can run →
或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)
作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。
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 |
Poolside Laguna XS 2.1 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 | 68.6 GB | ✗ No | — | — | 66 GB |
| Q8_0 | 37.7 GB | ✗ No | — | — | 35.1 GB |
| Q6_K | 29.7 GB | ✗ No | — | — | 27.1 GB |
| Q5_K_M | 26 GB | ✗ No | — | — | 23.4 GB |
| Q4_K_M | 22.6 GB | ✗ No | — | — | 19.9 GB |
| Q3_K_M | 16.7 GB | ✗ No | — | — | 14.1 GB |
| Q2_K | 13.5 GB | ✓ Yes | 16K | ~126.1 tok/s | 10.8 GB |
What to watch out for
- Q2_K is the only quantization that fits, and it is a heavily degraded one — expect noticeably worse output than the same model at Q4_K_M. A smaller model at Q4 is usually the better trade.
- 1 larger variant of Poolside Laguna XS 2.1 does not fit and would need CPU offload or different hardware.
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
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 inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run Poolside Laguna XS 2.1 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
Yes — Laguna XS 2.1 33B-A3B at Q2_K needs about 13.5 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) (~2.5 GB spare), at ~126.1 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of Poolside Laguna XS 2.1 should I use on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)?
Q2_K — it needs about 13.5 GB of the 16 GB available, downloads as roughly 10.8 GB, and runs at an estimated 126.1 tokens/sec with up to 16K of context.
What limits Poolside Laguna XS 2.1 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)
- 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)
- Qwen 3.5 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
- Qwen 3.6 on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM)
Poolside Laguna XS 2.1 on GPUs
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5090
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5080
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5070 Ti
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
← Can I Run It? | Poolside Laguna XS 2.1 model page | Check your hardware