Home / Models / QwQ 32B / NVIDIA GTX 1660 SUPER 6 GB

Calculated memory fit · not a benchmark

Can QwQ 32B run on NVIDIA GTX 1660 SUPER 6 GB?

No. Estimated memory for QwQ 32B 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
QwQ 32B · 33B
GPU
NVIDIA GTX 1660 SUPER 6 GB · 6 GB advertised

Memory calculation

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

Model weights19.1 GB
KV cache2.0 GB
Runtime reserve1.5 GB
Safety margin0.8 GB
Required (estimated)23.3 GB
GPU usable VRAM5.4 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K8K16K32K40K
BF16NoNoNoNoNoNo
FP16NoNoNoNoNoNo
Q3NoNoNoNoNoNo
Q4NoNoNoNoNoNo
Q5NoNoNoNoNoNo
Q6NoNoNoNoNoNo
Q8NoNoNoNoNoNo

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.

Check price on Amazon

Sources

Model: official config Qwen/QwQ-32B (main). 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.