Written by Jakub Rusinowski · Last updated April 28, 2025
Yes
Yes — Qwen 3 14B at Q6_K needs about 14.3 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) (~1.7 GB spare), at ~24.8 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~24.8 tok/s
| Usable memory for models | 16 GB |
| Memory bandwidth | 448 GB/s |
| Form factor | Desktop |
| Operating system | Windows or Linux |
| Memory upgradeable | Yes |
| Quant | Memory needed | Fits 16 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 31.7 GB | ✗ No | — | — | 29.6 GB |
| Q8_0 | 17.9 GB | ✗ No | — | — | 15.7 GB |
| Q6_K | 14.3 GB | ✓ Yes | 16K | ~24.8 tok/s | 12.1 GB |
| Q5_K_M | 12.6 GB | ✓ Yes | 16K | ~28.2 tok/s | 10.5 GB |
| Q4_K_M | 11.1 GB | ✓ Yes | 32K | ~32.4 tok/s | 8.9 GB |
| Q3_K_M | 8.5 GB | ✓ Yes | 32K | ~43.4 tok/s | 6.3 GB |
| Q2_K | 7 GB | ✓ Yes | 32K | ~53.4 tok/s | 4.9 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Qwen 3 235B-A22B (MoE) | 144.3 GB | ✗ Too large | — |
| Qwen 3 32B | 22.8 GB | ✗ Too large | — |
| Qwen 3 30B-A3B (MoE) | 20 GB | ✗ Too large | — |
| Qwen 3 14B | 11.1 GB | ✓ Fits | ~32.4 tok/s |
| Qwen 3 8B | 7 GB | ✓ Fits | ~53.3 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes — Qwen 3 14B at Q6_K needs about 14.3 GB of the 16 GB usable on RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) (~1.7 GB spare), at ~24.8 tok/s (estimated), with room for about 16,384 tokens of context.
Q6_K — it needs about 14.3 GB of the 16 GB available, downloads as roughly 12.1 GB, and runs at an estimated 24.8 tokens/sec with up to 16K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving