Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Qwen 2.5 14B Instruct needs 8.5 GB at Q4_K_M and the NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB, leaving about 7.5 GB of headroom, at roughly 38 tok/s (estimated) with room for up to 16K of context.
See what else this hardware can run →
| Model | Qwen 2.5 14B Instruct |
| Parameters | 14B |
| Quantization | Q4_K_M |
| VRAM needed | 8.5 GB |
| NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16 GB |
| Verdict | Runs |
| Max context | 16K |
| Estimated speed | ~38 tok/s |
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 29.6 GB | ✗ No | — | — |
| Q8_0 | 16.5 GB | ✗ No | — | — |
| Q6_K | 13.1 GB | ✓ Yes | 16K | — |
| Q5_K_M | 11.5 GB | ✓ Yes | 16K | — |
| Q4_K_M | 10.1 GB | ✓ Yes | 32K | — |
| Q3_K_M | 7.6 GB | ✓ Yes | 32K | — |
| Q2_K | 6.2 GB | ✓ Yes | 32K | — |
Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5060 Ti 16GB: 8K 10.9 GB · 32K 15.7 GB · 128K 35 GB ✗. Past 128K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Qwen 2.5 14B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.
Running Qwen 2.5 14B Instruct on this card:
At 2 hrs/day, buying (~$429) beats renting at $0.34/hr after about 21 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Qwen 2.5 Family sizes on the NVIDIA GeForce RTX 5060 Ti 16GB | Qwen 2.5 14B Instruct model page | NVIDIA GeForce RTX 5060 Ti 16GB GPU page | Check your hardware