DeepSeek R1 Uncensored

Community · March 2025

activeOpen Weightmixture of expertstext
Parameters671B (37B active)
Context Window128K tokens

Description

Community-modified version of DeepSeek R1 with built-in content restrictions removed using abliteration (a mathematical technique that surgically removes refusal behavior). Combines DeepSeek R1's powerful chain-of-thought reasoning — where the model 'thinks step by step' before answering — with unrestricted output, making it popular for coding and math tasks on consumer hardware.

Notable Milestones

  • Unrestricted coding assistant without content filters
  • Mathematical reasoning without safety-related refusals

Key Innovations

Abliteration
AbliterationRemoving safety guardrails from a model through targeted fine-tuning or weight manipulation. Controversial but popular in open-source community.
Reasoning
ReasoningStructured step-by-step problem solving, often using chain-of-thought or tree-of-thought approaches.
Open Weight
Open WeightModel weights are publicly released but training data/code may not be. Enables fine-tuning but not full reproduction.

Family Tree

Built On

Lineage

DeepSeek V1DeepSeek V2DeepSeek V3DeepSeek R1DeepSeek R1 Uncensored

Related Research (1)

DeepSeek-R1Reasoning
2025 · DeepSeek AI

Demonstrated that pure RL training (without supervised fine-tuning on reasoning traces) can produce chain-of-thought reasoning, achieving performance …