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Run LLM Locally

DeepSeek R1 Distill Qwen 14B on the RTX 5060 Ti 16 GB

With 16 GB of VRAM, the RTX 5060 Ti 16 GB runs DeepSeek R1 Distill Qwen 14B at Q4_K_M entirely on the GPU with an 8K context (about 11.2 GB needed). At Q8_0 it does not fit in VRAM.

DeepSeek R1 Distill Qwen 14B

Q4_K_M · 8K context

Excellent

The model needs about 11.2 GB and fits in the 15.5 GB available, with 4.3 GB to spare.

Your hardware
RTX 5060 Ti 16 GB · 64 GB RAM
Estimated memory
~11.2 GB estimate
VRAM (usable memory)
15.5 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
32–43 tok/s estimate
Largest context in fast memory
29K tokens
Confidence: low

Based on: memory bandwidth (448 GB/s) and model size

Memory breakdown

~11.2 GB (10.7 GB–11.8 GB) needed · estimate

Fits entirely in VRAM · 4.3 GB left

  • Model weights8.4 GB
  • KV cache1.5 GB
  • Runtime overhead0.8 GB
  • Safety margin0.5 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet

Other quantizations on the RTX 5060 Ti 16 GB

DeepSeek R1 Distill Qwen 14B on RTX 5060 Ti 16 GB + 64 GB RAM · 8K context
DeepSeek R1 Distill Qwen 14B Q8_08K~17.8 GB · 6–12 tok/s estimateCPU/GPU offload
DeepSeek R1 Distill Qwen 14B Q6_K8K~14.3 GB · 25–33 tok/s estimateCompatible
DeepSeek R1 Distill Qwen 14B Q5_K_M8K~12.7 GB · 28–38 tok/s estimateExcellent
DeepSeek R1 Distill Qwen 14B Q4_K_M8K~11.2 GB · 32–43 tok/s estimateExcellent
DeepSeek R1 Distill Qwen 14B IQ4_XS8K~10.4 GB · 35–47 tok/s estimateExcellent
DeepSeek R1 Distill Qwen 14B Q3_K_M8K~9.6 GB · 38–52 tok/s estimateExcellent

Alternatives

Where to buy a RTX 5060 Ti 16 GB

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GeForce RTX 5060 Ti 16 GB

16 GB GDDR7 · 448 GB/s · 180 W

ExcellentRuns DeepSeek R1 Distill Qwen 14B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RTX 5060 Ti 16 GB run DeepSeek R1 Distill Qwen 14B?
The model needs about 11.2 GB and fits in the 15.5 GB available, with 4.3 GB to spare.
Which quantization should I use on the RTX 5060 Ti 16 GB?
Q6_K is the highest-precision quantization that fits entirely in VRAM at 8K context. ~14.3 GB / 15.5 GB.
What is the largest context on the RTX 5060 Ti 16 GB?
At Q4_K_M, about 29K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is DeepSeek R1 Distill Qwen 14B (RTX 5060 Ti 16 GB)?
We estimate 32–43 tok/s (estimate, confidence low). Based on: memory bandwidth (448 GB/s) and model size.