Can RTX 6000 Ada 48GB run Qwen2.5-Coder-14B-Instruct?
NVIDIA · 48 GB GDDR6 · 960 GB/s bandwidth ·
Alibaba · 14.8B · model ctx up to 32K
Yes — the RTX 6000 Ada 48GB (48 GB GDDR6) 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 48 GB. Decode at Q4/8K: ≈ 41.3 tok/s (estimated, batch 1). FP16 (≈ 33.56 GB) also fits, at ≈ 11.4 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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
10.62 GB
Yes
41.3est.
Q4
8K default
12.1 GB
Yes
41.3est.
Q4
32K
20.98 GB
Yes
41.3est.
FP16
4K
32.08 GB
Yes
11.4est.
FP16
8K default
33.56 GB
Yes
11.4est.
FP16
32K
42.44 GB
Yes
11.4est.
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).