DeepSeek · 14B
Can you run DeepSeek-R1 Distill Qwen 14B locally?
DeepSeek-R1 Distill Qwen 14B is a dense model with 14B parameters. At 4-bit or better it runs on 96 of the 120 hardware configurations listed here; the smallest is the RTX 5080 (16 GB). On a 128 GB DGX Spark it runs at Q8_0, at roughly 10 tokens per second (our est.).
Data as of 2 November 2026
Fastest machines for DeepSeek-R1 Distill Qwen 14B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX 5090Graphics card · 32 GB~92 tok/s ModelFit est.Q8_0 · 16.0 of 31 GB
- 2RTX PRO 6000 BlackwellGraphics card · 96 GB~92 tok/s ModelFit est.Q8_0 · 16.0 of 95 GB
- 32x RTX 5090Graphics card · 64 GB~89 tok/s ModelFit est.Q8_0 · 16.0 of 62 GB
- 42x RTX PRO 6000 BlackwellGraphics card · 192 GB~89 tok/s ModelFit est.Q8_0 · 16.0 of 190 GB
- 5RTX 5080Graphics card · 16 GB~83 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 6RTX 5070 TiGraphics card · 16 GB~78 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 7RTX 4080 SUPERGraphics card · 16 GB~63 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 8RTX 4080Graphics card · 16 GB~62 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 9RTX 4070 Ti SUPERGraphics card · 16 GB~58 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 10M5 UltraMac · 96–512 GB · 5 variants~57 tok/s ModelFit est.Q8_0 · 16.0 GB
- 11RTX 4090Graphics card · 24 GB~52 tok/s ModelFit est.Q8_0 · 16.0 of 23 GB
- 122x RTX 4090Graphics card · 48 GB~52 tok/s ModelFit est.Q8_0 · 16.0 of 46 GB
- 13RX 9070 XTGraphics card · 16 GB~51 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 14RTX 3090 TiGraphics card · 24 GB~50 tok/s ModelFit est.Q8_0 · 16.0 of 23 GB
- 152x RTX 3090 TiGraphics card · 48 GB~49 tok/s ModelFit est.Q8_0 · 16.0 of 46 GB
- 16RTX 3090Graphics card · 24 GB~46 tok/s ModelFit est.Q8_0 · 16.0 of 23 GB
- 172x RTX 3090Graphics card · 48 GB~46 tok/s ModelFit est.Q8_0 · 16.0 of 46 GB
- 18RX 7900 XTXGraphics card · 24 GB~45 tok/s ModelFit est.Q8_0 · 16.0 of 23 GB
- 192x RX 7900 XTXGraphics card · 48 GB~44 tok/s ModelFit est.Q8_0 · 16.0 of 46 GB
- 20RTX 5060 TiGraphics card · 16 GB~41 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 21RX 7900 XTGraphics card · 20 GB~38 tok/s ModelFit est.Q8_0 · 16.0 of 19.0 GB
- 22M3 UltraMac · 96–512 GB · 5 variants~38 tok/s ModelFit est.Q8_0 · 16.0 GB
- 23M2 UltraMac · 64–192 GB · 7 variants~35 tok/s ModelFit est.Q8_0 · 16.0 GB
- 24M1 UltraMac · 64–128 GB · 4 variants~32 tok/s ModelFit est.Q8_0 · 16.0 GB
- 25M5 MaxMac · 48–128 GB · 3 variants~31 tok/s ModelFit est.Q8_0 · 16.0 GB
- 26RX 9060 XTGraphics card · 16 GB~28 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 27M4 MaxMac · 48–128 GB · 3 variants~26 tok/s ModelFit est.Q8_0 · 16.0 GB
- 28RTX 4060 TiGraphics card · 16 GB~25 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 29Tesla P100Graphics card · 16 GB~25 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 30M5 Max · 36 GB · 32cMac · 36 GB~24 tok/s ModelFit est.Q8_0 · 16.0 of 24 GB
- 31Tesla T4Graphics card · 16 GB~22 tok/s ModelFit est.Q4_K_M · 12.3 of 15.0 GB
- 32M3 MaxMac · 48–128 GB · 3 variants~20 tok/s ModelFit est.Q8_0 · 16.0 GB
- 33M4 Max · 36 GB · 32cMac · 36 GB~20 tok/s ModelFit est.Q8_0 · 16.0 of 24 GB
- 34M2 MaxMac · 32–96 GB · 5 variants~19 tok/s ModelFit est.Q8_0 · 16.0 GB
- 35M5 ProMac · 24–64 GB · 6 variants~17 tok/s ModelFit est.Q8_0 · 16.0 GB
- 36M1 MaxMac · 32–64 GB · 4 variants~17 tok/s ModelFit est.Q8_0 · 16.0 GB
- 37M1 Pro · 32 GBMac · 32 GB~16 tok/s ModelFit est.Q4_K_M · 12.3 of 21 GB
- 38M3 MaxMac · 36–96 GB · 2 variants~15 tok/s ModelFit est.Q8_0 · 16.0 GB
- 39M4 ProMac · 24–64 GB · 6 variants~14 tok/s ModelFit est.Q8_0 · 16.0 GB
- 40M5Mac · 24–32 GB · 4 variants~14 tok/s ModelFit est.Q4_K_M · 12.3 GB
- 41M3 Pro · 36 GBMac · 36 GB~14 tok/s ModelFit est.Q4_K_M · 12.3 of 24 GB
- 42Ryzen AI Max+ 395 · 64 GBAI mini PC · 64 GB~13 tok/s our est.Q4_K_M · 12.3 of 48 GB
- 43Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~12 tok/s ModelFit est.Q8_0 · 16.0 of 96 GB
- 44M4Mac · 24–32 GB · 2 variants~11 tok/s ModelFit est.Q4_K_M · 12.3 GB
- 45M2 Pro · 32 GBMac · 32 GB~11 tok/s ModelFit est.Q8_0 · 16.0 of 21 GB
- 46DGX Spark (GB10)AI mini PC · 128 GB~10 tok/s our est.Q8_0 · 16.0 of 122 GB
- 47M6Mac · 24–32 GB · 3 variants~10 tok/s ModelFit est.Q8_0 · 16.0 GB
- 48M3 · 24 GBMac · 24 GB~9.2 tok/s slow ModelFit est.Q4_K_M · 12.3 of 16.0 GB
- 49M2 · 24 GBMac · 24 GB~8.8 tok/s slow ModelFit est.Q4_K_M · 12.3 of 16.0 GB
Too big for 24 machines
M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. DeepSeek-R1 Distill Qwen 14B needs about 12.3 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
About the model
- Parameters
- 14B
- Active per token
- 14B
- Type
- Dense
- Good for
- Reasoning, Quality
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 11.0 GB | 16 GB | ollama run deepseek-r1:14b |
| Q8_0 | 14.6 GB | 24 GB | ollama run deepseek-r1:14b-qwen-distill-q8_0 |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run DeepSeek-R1 Distill Qwen 14B on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M5 Pro · 24 GB · 20c.
How much memory does DeepSeek-R1 Distill Qwen 14B need?
About 12.3 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does DeepSeek-R1 Distill Qwen 14B run on a DGX Spark?
Yes, at Q8_0. The Spark has 128 GB of unified memory, about 121.6 GB usable.