Rent a GPU

Can the NVIDIA RTX 4060 Ti 16GB run DeepSeek R1 Distill Qwen 32B?

RTX 4060 Ti 16GB × DeepSeek R1 Distill Qwen 32B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K15 GB of 16 GB
Weights 12.3 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Memory15 GBof 16 GB usable
Speed~14tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. DeepSeek R1 Distill Qwen 32B fits on the NVIDIA RTX 4060 Ti 16GB at Q2_K, which costs noticeable quality. Expect about 14 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default deepseek-r1:32b download is Q4_K_M, which needs about 22.6 GB, more than the 16 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4060 Ti 16GB

Run it in the cloud

Want full quality? Run DeepSeek R1 Distill Qwen 32B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4060 Ti 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality68.3 GBToo big—
Q8_0Near-lossless37.6 GBToo big—
Q6_KExcellent29.6 GBToo big—
Q5_K_MVery good26.1 GBToo big—
Q4_K_MGood, most popular22.6 GBToo big—
Q3_K_MNoticeably degraded18.8 GBToo big—
Q2_KHeavily degraded15 GBFits~14 tok/s

Measured speed from real RTX 4060 Ti 16GB owners

Tokens per second that people measured on their own NVIDIA RTX 4060 Ti 16GB, next to our estimate.

No one has measured DeepSeek R1 Distill Qwen 32B on the NVIDIA RTX 4060 Ti 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4060 Ti 16GB? Add your real speed

One command times DeepSeek R1 Distill Qwen 32B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- deepseek-r1:32b

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-r1:32b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek R1 Distill Qwen 32B comfortably

Check NVIDIA RTX 3090 prices

Models that run well on the NVIDIA RTX 4060 Ti 16GB

Frequently asked questions

Can NVIDIA RTX 4060 Ti 16GB run DeepSeek R1 Distill Qwen 32B?

Only just. DeepSeek R1 Distill Qwen 32B fits on the NVIDIA RTX 4060 Ti 16GB at Q2_K, which costs noticeable quality. Expect about 14 tokens/second. A card with more memory is a better experience.

How much VRAM does DeepSeek R1 Distill Qwen 32B need?

About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 68.3 GB at full FP16 precision.

How fast is DeepSeek R1 Distill Qwen 32B on the NVIDIA RTX 4060 Ti 16GB?

Roughly 14 tokens per second at Q2_K, estimated from the NVIDIA RTX 4060 Ti 16GB's 288 GB/s memory bandwidth.