Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Qwen 3.6 27B needs 16.8 GB at Q4_K_M and the NVIDIA RTX 6000 Ada Generation has 48 GB, leaving about 31.2 GB of headroom, at roughly 45 tok/s (estimated) with room for up to 128K of context.
See what else this hardware can run →
| Model | Qwen 3.6 27B |
| Parameters | 27.8B |
| Quantization | Q4_K_M |
| VRAM needed | 16.8 GB |
| NVIDIA RTX 6000 Ada Generation VRAM | 48 GB |
| Verdict | Runs |
| Max context | 128K |
| Estimated speed | ~45 tok/s |
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 57.3 GB | ✗ No | — | — |
| Q8_0 | 31.2 GB | ✓ Yes | 64K | Build for this |
| Q6_K | 24.5 GB | ✓ Yes | 64K | — |
| Q5_K_M | 21.4 GB | ✓ Yes | 64K | Build for this |
| Q4_K_M | 18.5 GB | ✓ Yes | 128K | Build for this |
| Q3_K_M | 13.5 GB | ✓ Yes | 128K | — |
| Q2_K | 10.8 GB | ✓ Yes | 128K | — |
Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 48 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 RTX 6000 Ada Generation: 8K 19.3 GB · 32K 24.6 GB · 128K 45.5 GB. Every window this model publishes still fits 48 GB.
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 3.6 27B on 16 GB of system RAM, CPU only: runs, but it is tight.
Running Qwen 3.6 27B on this card:
At 2 hrs/day, buying (~$6,799) beats renting at $0.34/hr after about 27.8 years.
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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 3.6 sizes on the NVIDIA RTX 6000 Ada Generation | Qwen 3.6 27B model page | NVIDIA RTX 6000 Ada Generation GPU page | Check your hardware