Home / Models / OLMo 2 32B Instruct / NVIDIA GTX 1660 SUPER 6 GB

Calculated memory fit · performance is a separate section

Can OLMo 2 32B Instruct run on NVIDIA GTX 1660 SUPER 6 GB?

No. Estimated memory for OLMo 2 32B Instruct exceeds NVIDIA GTX 1660 SUPER 6 GB, including the modeled offload allowance.

Can it run?

Can it run?
No (calculated estimate).
Full GPU fit?
No
Model
OLMo 2 32B Instruct · 32B
GPU
NVIDIA GTX 1660 SUPER 6 GB · 6 GB advertised

What else can NVIDIA GTX 1660 SUPER 6 GB run? · Find other GPUs for OLMo 2 32B Instruct · See 2× multi-GPU options

Memory calculation

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

Model weights18.9 GB
KV cache1.0 GB
Runtime reserve1.4 GB
Safety margin0.8 GB
Required (estimated)22.2 GB
GPU usable VRAM5.4 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K
BF16NoNo
FP16NoNo
Q3NoNo
Q4NoNo
Q5NoNo
Q6NoNo
Q8NoNo

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.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

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 allenai/OLMo-2-0325-32B-Instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.