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Can RTX 4090D 24GB (China) run Qwen2.5-Coder-32B-Instruct?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Alibaba · 32.8B · model ctx up to 32K

Partly — Qwen2.5-Coder-32B-Instruct at Q4 fits the RTX 4090D 24GB (China) (24 GB GDDR6X) at 4K context (≈ 22.32 GB) but not at the default 8K (≈ 25.6 GB needed). Use a shorter context or partial offload. Decode at Q4/8K: ≈ 49.1 tok/s (estimated, batch 1). FP16 needs ≈ 73.16 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)
Q44K22.32 GBYes19.6 est.
Q48K default25.6 GBNo49.1 est.
Q432K45.28 GBNo15.7 est.
FP164K69.88 GBNo1.8 est.
FP168K default73.16 GBNo1.7 est.
FP1632K92.84 GBNo1.0 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 4090D 24GB (China) VRAM
Q418.04 GB6.56 GB1 GB25.6 GB24 GB
FP1665.6 GB6.56 GB1 GB73.16 GB24 GB

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