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Can RTX 3090 Ti 24GB run Qwen2.5-7B-Instruct?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Alibaba · 7.6B · model ctx up to 128K

Yes — the RTX 3090 Ti 24GB (24 GB GDDR6X) can run Qwen2.5-7B-Instruct. At Q4 with the default 8K context it needs ≈ 6.7 GB VRAM (weights 4.18 GB + KV cache 1.52 GB + 1 GB runtime overhead), which fits within 24 GB. Decode at Q4/8K: ≈ 84.4 tok/s (estimated, batch 1). FP16 (≈ 17.72 GB) also fits, at ≈ 23.2 tok/s (estimated). 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)
Q44K5.94 GBYes84.4 est.
Q48K default6.7 GBYes84.4 est.
Q432K11.26 GBYes84.4 est.
FP164K16.96 GBYes23.2 est.
FP168K default17.72 GBYes23.2 est.
FP1632K22.28 GBYes23.2 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 Ti 24GB VRAM
Q44.18 GB1.52 GB1 GB6.7 GB24 GB
FP1615.2 GB1.52 GB1 GB17.72 GB24 GB

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