Home / Models / Qwen2.5-Math 7B Instruct / NVIDIA Quadro P5000 16 GB

Calculated memory fit · not a benchmark

Can Qwen2.5-Math 7B Instruct run on NVIDIA Quadro P5000 16 GB?

Yes. Calculated memory fit: Qwen2.5-Math 7B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Qwen2.5-Math 7B Instruct · 7.6B
GPU
NVIDIA Quadro P5000 16 GB · 16 GB advertised

Memory calculation

Breakdown for Q4 at 4K context, batch size 1. Calculator v1.0.0.

Model weights4.5 GB
KV cache0.2 GB
Runtime reserve0.7 GB
Safety margin0.4 GB
Required (estimated)5.8 GB
GPU usable VRAM14.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K
BF16OffloadOffload
FP16OffloadOffload
Q3FitsFits
Q4FitsFits
Q5FitsFits
Q6FitsFits
Q8FitsFits

What fits entirely in VRAM?

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

Sources

Model: official config Qwen/Qwen2.5-Math-7B-Instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.