Home / Models / Llama 3.1 8B Instruct / NVIDIA RTX 4080 16 GB

Calculated memory fit · not a benchmark

Can Llama 3.1 8B Instruct run on NVIDIA RTX 4080 16 GB?

Yes. Calculated memory fit: Llama 3.1 8B 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
Llama 3.1 8B Instruct · 8.0B
GPU
NVIDIA RTX 4080 16 GB · 16 GB advertised

Memory calculation

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

Model weights4.7 GB
KV cache1.0 GB
Runtime reserve0.7 GB
Safety margin0.4 GB
Required (estimated)6.8 GB
GPU usable VRAM14.4 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K64K128K
BF16OffloadOffloadOffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsFitsFitsLimited context
Q4FitsFitsFitsFitsFitsFitsLimited context
Q5FitsFitsFitsFitsFitsLimited contextLimited context
Q6FitsFitsFitsFitsFitsLimited contextLimited context
Q8FitsFitsFitsFitsFitsLimited 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

MSI

MSI SUPRIM GeForce RTX 4080 16GB X NVIDIA GDDR6X

16 GB · Amazon unmatched

Check availability

Sources

Model: official config meta-llama/Llama-3.1-8B-Instruct (official-fallback-config). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.