Home / Models / Qwen2.5 32B Instruct / NVIDIA GTX 1660 6 GB

Calculated memory fit · not a benchmark

Can Qwen2.5 32B Instruct run on NVIDIA GTX 1660 6 GB?

No. Estimated memory for Qwen2.5 32B Instruct exceeds NVIDIA GTX 1660 6 GB, including the modeled offload allowance.

Can it run?

Can it run?
No (calculated estimate).
Full GPU fit?
No
Model
Qwen2.5 32B Instruct · 33B
GPU
NVIDIA GTX 1660 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

Quantization2K4K8K16K32K
BF16NoNoNoNoNo
FP16NoNoNoNoNo
Q3NoNoNoNoNo
Q4NoNoNoNoNo
Q5NoNoNoNoNo
Q6NoNoNoNoNo
Q8NoNoNoNoNo

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/Qwen2.5-32B-Instruct (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.