Back to the lesson libraryCOMPARISON · 14 MIN
M35.5 CONNECT THE MECHANISM

Separate DeepSeek-R1, R1-Zero, and distilled students

Download "DeepSeek-R1-Distill-Qwen-32B" and you get a Qwen model, not a small DeepSeek. Untangle R1-Zero, R1, and their students, and find out why the student caches more per token than its giant teacher.

LESSON OVERVIEW14 min lesson

Lesson overview

Download "DeepSeek-R1-Distill-Qwen-32B" and you get a Qwen model, not a small DeepSeek. Untangle R1-Zero, R1, and their students, and find out why the student caches more per token than its giant teacher.

What you’ll explore

  • DeepSeek-R1 illustrates reasoning post-training on an already pretrained base; distinguish the staged R1 recipe, direct-RL R1-Zero experiment, and architecturally different distilled students.
GO TO THE SOURCE

Original explanations, connected to the research.

DeepSeek-R1 report v1DeepSeek-R1 official repository
Suggest a correction

A precise note can make an explanation better.

Choose the scene and describe what needs attention. Download a feedback file to share through a channel you already use. This page does not send feedback or connect you with a reviewer.

The file includes this note, the scene title, and lesson metadata. Your saved progress and quiz responses are excluded. Download before leaving or reloading to keep your note.