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Can RTX 5090 32GB run DeepSeek-R1-Distill-Qwen-14B?

NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth · DeepSeek · 14.8B · model ctx up to 128K

Yes — the RTX 5090 32GB (32 GB GDDR7) can run DeepSeek-R1-Distill-Qwen-14B. At Q4 with the default 8K context it needs ≈ 12.1 GB VRAM (weights 8.14 GB + KV cache 2.96 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 77.1 tok/s (estimated, batch 1). FP16 needs ≈ 33.56 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K10.62 GBYes77.1 est.
Q48K default12.1 GBYes77.1 est.
Q432K20.98 GBYes77.1 est.
FP164K32.08 GBNo60.2 est.
FP168K default33.56 GBNo55.0 est.
FP1632K42.44 GBNo34.4 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 5090 32GB VRAM
Q48.14 GB2.96 GB1 GB12.1 GB32 GB
FP1629.6 GB2.96 GB1 GB33.56 GB32 GB

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