Home / Models / Llama 3.3 70B Instruct / NVIDIA RTX 2080 SUPER 8 GB

Calculated memory fit · not a benchmark

Can Llama 3.3 70B Instruct run on NVIDIA RTX 2080 SUPER 8 GB?

No. Estimated memory for Llama 3.3 70B Instruct exceeds NVIDIA RTX 2080 SUPER 8 GB, including the modeled offload allowance.

Can it run?

Can it run?
No (calculated estimate).
Full GPU fit?
No
Model
Llama 3.3 70B Instruct · 71B
GPU
NVIDIA RTX 2080 SUPER 8 GB · 8 GB advertised

Memory calculation

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

Model weights41.4 GB
KV cache2.5 GB
Runtime reserve2.6 GB
Safety margin1.5 GB
Required (estimated)48.0 GB
GPU usable VRAM7.2 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K8K16K32K64K128K
BF16NoNoNoNoNoNoNo
FP16NoNoNoNoNoNoNo
Q3NoNoNoNoNoNoNo
Q4NoNoNoNoNoNoNo
Q5NoNoNoNoNoNoNo
Q6NoNoNoNoNoNoNo
Q8NoNoNoNoNoNoNo

What fits entirely in VRAM?

No calculated full-VRAM fit at the evaluated quantizations and context lengths.

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.

Sources

Model: official config meta-llama/Llama-3.3-70B-Instruct (official-fallback-config). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.