Home / Models / DeepSeek Coder 33B Instruct / NVIDIA GTX 1660 SUPER 6 GB

Calculated memory fit · performance is a separate section

Can DeepSeek Coder 33B Instruct run on NVIDIA GTX 1660 SUPER 6 GB?

No. Estimated memory for DeepSeek Coder 33B 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
DeepSeek Coder 33B Instruct · 33B
GPU
NVIDIA GTX 1660 SUPER 6 GB · 6 GB advertised

What else can NVIDIA GTX 1660 SUPER 6 GB run? · Find other GPUs for DeepSeek Coder 33B Instruct · See 2× multi-GPU options

Memory calculation

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

Model weights19.6 GB
KV cache1.9 GB
Runtime reserve1.5 GB
Safety margin0.8 GB
Required (estimated)23.8 GB
GPU usable VRAM5.4 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K8K16K
BF16NoNoNoNo
FP16NoNoNoNo
Q3NoNoNoNo
Q4NoNoNoNo
Q5NoNoNoNo
Q6NoNoNoNo
Q8NoNoNoNo

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 deepseek-ai/deepseek-coder-33b-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.