---
title: "DeepSeek R1 Distillation"
created: 2026-04-15
updated: 2026-04-15
type: concept
tags: [distillation, reasoning]
sources: []
---

# DeepSeek R1 Distillation

DeepSeek R1 Distillation refers to the distillation approach used in the DeepSeek R1 model family, where reasoning capabilities are transferred from a large teacher model to smaller student models. This approach is discussed in the [[on-policy-distillation-survey]] as a prominent example of reasoning distillation in practice.

## Related

- [[on-policy-distillation-survey]] — Surveys DeepSeek R1's distillation methodology
- [[reasoning-distillation]] — Broader paradigm of transferring reasoning abilities
- [[strong-to-weak-distillation]] — Strong-to-weak model distillation paradigm

## References

- DeepSeek-AI (2025). "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning."