Home / Models / Code Llama 13B Instruct / NVIDIA Quadro P6000 24 GB

Calculated memory fit · not a benchmark

Can Code Llama 13B Instruct run on NVIDIA Quadro P6000 24 GB?

Yes. Calculated memory fit: Code Llama 13B 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
Code Llama 13B Instruct · 13B
GPU
NVIDIA Quadro P6000 24 GB · 24 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights7.6 GB
KV cache6.3 GB
Runtime reserve0.9 GB
Safety margin0.5 GB
Required (estimated)15.2 GB
GPU usable VRAM21.6 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K
BF16OffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffload
Q3FitsFitsFitsFits
Q4FitsFitsFitsFits
Q5FitsFitsFitsLimited context
Q6FitsFitsFitsLimited context
Q8FitsFitsLimited contextLimited context

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 codellama/CodeLlama-13b-Instruct-hf (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_WITH_LIMITED_CONTEXT. Amazon: affiliate commerce match, not a spec source.