NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth ·
Alibaba · 14.8B · model ctx up to 32K
Yes — the RTX 5090 32GB (32 GB GDDR7) can run Qwen2.5-Coder-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 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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
10.62 GB
Yes
77.1est.
Q4
8K default
12.1 GB
Yes
77.1est.
Q4
32K
20.98 GB
Yes
77.1est.
FP16
4K
32.08 GB
No
60.2est.
FP16
8K default
33.56 GB
No
55.0est.
FP16
32K
42.44 GB
No
34.4est.
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).