Can I Run / DeepSeek R1 Distill Qwen 14B / on NVIDIA RTX 2080 Ti

Can I Run DeepSeek R1 Distill Qwen 14B on a NVIDIA RTX 2080 Ti?

Yes

Runs at Q4_K_M — good quality with reasonable headroom.

Model size
14.8B
GPU memory
11.0GB
Smallest quant
Q4_K_M
Best fit
Q4_K_M

1 quant fit your 11.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q4_K_MBEST10.0 GB11.5 GB9.0 GB+1.0 GB

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Full model details
DeepSeek R1 Distill Qwen 14B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
NVIDIA RTX 2080 Ti

Top-ranked open-source models that fit in 11.0GB.

FAQ

Can the NVIDIA RTX 2080 Ti run DeepSeek R1 Distill Qwen 14B?

Yes. The NVIDIA RTX 2080 Ti's 11.0GB of VRAM is enough to run DeepSeek R1 Distill Qwen 14B at Q4_K_M quantization (10.0GB required).

What's the best quantization to use?

Q4_K_M is the highest-precision quantization that fits in your 11.0GB. It uses about 10.0GB of memory and 11.5GB recommended for comfortable inference.

What if I need more headroom for context length?

KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.