Can the GeForce RTX 4090 (used) run Qwen2.5 Coder 32B Instruct?
Fits comfortably at Q4_K_M.
Qwen2.5 Coder 32B Instruct is 32.5B parameters. At Q4_K_M the weights are about 18.2 GiB; with the 1.5 GiB runtime reserve that is 19.7 GiB against the card's 24GB, leaving about 4.3 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 18.2 GiB | 19.7 GiB | Fits comfortably | 4.3 GiB |
| Q8_0near-lossless | 32.1 GiB | 33.6 GiB | Only with CPU offload | short 9.6 GiB |
| FP16full weights | 60.5 GiB | 62.0 GiB | Does not fit | short 38.0 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 Qwen2.5 Coder 32B Instruct at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Qwen2.5 Coder 32B Instruct by Alibaba Qwen: 32,768-token native context, text, released 2024 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →