Text / DeepSeek

DeepSeek R1 · 14B

A distilled reasoning model built on Qwen2.5, for exploring reasoning on your own infrastructure.

Verified sourceSource checked 9/23/2026
LOCALRENTED GPUOPEN WEIGHTS
Freshness 8 out of 100. Repository age: 657 days old, Jan 20, 2025. Measures age, not quality.
Popularity 72 out of 100. 206,370 downloads in 30 days; 738 lifetime likes. Checked Nov 7, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Nov 8, 2026. Statistics checked Nov 7, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 2

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At a glance

Parameters
14B
License
MIT; base-model terms apply
Disk space
9 GB
Software
Ollama, llama.cpp
View the model source
MY HARDWARE

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Ways to run it

Ollama · Windows, macOS, Linux

Ollama lists a 9.0 GB package; the full 128K context requires additional memory.

ollama run deepseek-r1:14b
Official instructions

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REASONINGMATHDISTILLED

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DeepSeek R1 · 14B: hardware, VRAM & setup | YouRunAI