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Can RTX 3090 24GB run Qwen2.5-14B-Instruct?

NVIDIA · 24 GB GDDR6X · 936 GB/s bandwidth · Alibaba · 14.8B · model ctx up to 128K

Yes — the RTX 3090 24GB (24 GB GDDR6X) can run Qwen2.5-14B-Instruct. 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 24 GB. Decode at Q4/8K: ≈ 40.2 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 GBYes40.2 est.
Q48K default12.1 GBYes40.2 est.
Q432K20.98 GBYes40.2 est.
FP164K32.08 GBNo17.7 est.
FP168K default33.56 GBNo16.2 est.
FP1632K42.44 GBNo10.1 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 3090 24GB VRAM
Q48.14 GB2.96 GB1 GB12.1 GB24 GB
FP1629.6 GB2.96 GB1 GB33.56 GB24 GB

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