Home / Models / DeepSeek LLM 7B Chat / NVIDIA GTX 1660 Ti 6 GB

Calculated memory fit · not a benchmark

Can DeepSeek LLM 7B Chat run on NVIDIA GTX 1660 Ti 6 GB?

Yes. Calculated memory fit: DeepSeek LLM 7B Chat can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
DeepSeek LLM 7B Chat · 6.9B
GPU
NVIDIA GTX 1660 Ti 6 GB · 6 GB advertised

Memory calculation

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

Model weights4.1 GB
KV cache1.9 GB
Runtime reserve0.7 GB
Safety margin0.4 GB
Required (estimated)7.0 GB
GPU usable VRAM5.4 GB

Result: CPU RAM OFFLOAD REQUIRED

Quantization table

Quantization2K4K
BF16OffloadOffload
FP16OffloadOffload
Q3FitsLimited context
Q4OffloadOffload
Q5OffloadOffload
Q6OffloadOffload
Q8OffloadOffload

What fits entirely in VRAM?

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

GIGABYTE

GIGABYTE GAMING GeForce GTX 1660 Ti OC 6G

6 GB · Amazon unmatched

Check availability
MSI

MSI ARMOR GeForce GTX 1660 Ti 6G OC

6 GB · Amazon unmatched

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MSI

MSI VENTUS GeForce GTX 1660 Ti XS 6G OC

6 GB · Amazon unmatched

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GIGABYTE

GIGABYTE GeForce GTX 1660 Ti MINI ITX OC 6G

6 GB · Amazon unmatched

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MSI

MSI GAMING GeForce GTX 1660 Ti X 6G

6 GB · Amazon unmatched

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GIGABYTE

GIGABYTE AORUS GeForce GTX 1660 Ti 6G

6 GB · Amazon unmatched

Check availability

Sources

Model: official config deepseek-ai/deepseek-llm-7b-chat (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.