Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~7.5 GB of headroom running Qwen 2.5 14B Instruct at Q4_K_M (8.5 GB, ~63 tok/s (est.)) with room for up to 32K context.
See what else this hardware can run →
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/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 4080 Super: 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.
No compatible GPU? Qwen 2.5 14B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.
| Qwen 2.5 14B Instruct | Q4_K_M · 8.5 GB · ~63 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 4.6 GB · ~107 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~7.5 GB of headroom running Qwen 2.5 14B Instruct at Q4_K_M (8.5 GB, ~63 tok/s (est.)) with room for up to 32K context.
Qwen 2.5 14B Instruct at Q4_K_M quantization (8.5 GB), estimated ~63 tokens/sec, up to 32K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 43.5 GB | Does not fit | — |
| Qwen 2.5 Coder 32B | 19.3 GB | Runs at Q2_K | — |
| Qwen 2.5 14B Instruct | 8.5 GB | Runs | ~63 tok/s |
| Qwen 2.5 7B Instruct | 4.6 GB | Runs | ~107 tok/s |
← Can I Run It? | Qwen 2.5 Family Model Page | NVIDIA GeForce RTX 4080 Super GPU Page | Check Your Hardware