Can the GeForce RTX 4090 (used) run Qwen3.6 27B?
Fits comfortably at Q4_K_M.
Qwen3.6 27B is 27.8B parameters. At Q4_K_M the weights are about 15.5 GiB; with the 1.5 GiB runtime reserve that is 17.0 GiB against the card's 24GB, leaving about 7.0 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 15.5 GiB | 17.0 GiB | Fits comfortably | 7.0 GiB |
| Q8_0near-lossless | 27.4 GiB | 28.9 GiB | Only with CPU offload | short 4.9 GiB |
| FP16full weights | 51.8 GiB | 53.3 GiB | Does not fit | short 29.3 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
Good match. Get the card.
The GeForce RTX 4090 (used) clears Qwen3.6 27B at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Qwen3.6 27B by Alibaba Qwen: 262,144-token native context, text + vision, released 2026 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →