Can the Arc B570 run Qwen3 14B?
Fits, tight on context at Q4_K_M.
Qwen3 14B is 14.8B parameters. At Q4_K_M the weights are about 8.3 GiB; with the 1.5 GiB runtime reserve that is 9.8 GiB against the card's 10GB, leaving about 0.2 GiB for context.
All three quants
10GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 8.3 GiB | 9.8 GiB | Fits, tight on context | 0.2 GiB |
| Q8_0near-lossless | 14.6 GiB | 16.1 GiB | Only with CPU offload | short 6.1 GiB |
| FP16full weights | 27.6 GiB | 29.1 GiB | Does not fit | short 19.1 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 Arc B570 clears Qwen3 14B at Q4_K_M. Live listings below; this page was rebuilt 2026-08-23.
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About the model
Qwen3 14B by Alibaba Qwen: 32,768-token native context, text, released 2025 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →