richardyoung/qwen3-32b

TEXT GENERATIONConcurrency Cost:2Model Size:32BQuant:FP8Ctx Length:32kPublished:Nov 18, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

richardyoung/qwen3-32b is a 32-billion parameter uncensored language model based on the Qwen3-32B architecture, developed by Richard Young. It utilizes the Heretic abliteration technique to remove refusal behaviors, allowing it to respond to a broader range of queries without built-in restrictions. With a context length of 40,960 tokens, this model is primarily intended for research, educational purposes, and creative applications where reduced safety guardrails are desired.

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Overview

richardyoung/qwen3-32b is an uncensored version of the Qwen/Qwen3-32B base model, featuring 32 billion parameters and a substantial context length of 40,960 tokens. Developed by Richard Young, this model has been modified using the Heretic abliteration technique to remove inherent refusal behaviors and safety guardrails. This modification allows the model to generate responses to a wider array of prompts that might typically be filtered by standard models.

Key Capabilities

  • Reduced Refusal Behavior: Designed to respond to queries without built-in restrictions, offering greater flexibility in content generation.
  • Extensive Context Window: Supports a context length of 40,960 tokens, enabling processing of long inputs and generating detailed outputs.
  • Research and Exploration: Provides a tool for understanding model behavior and limitations without standard safety filters.

Good for

  • Research and Educational Purposes: Ideal for studying model responses and exploring the impact of safety guardrail removal.
  • Creative Writing and Roleplay: Suitable for generating diverse content in creative applications with consenting adults.
  • Red-Teaming and Safety Research: Useful for identifying vulnerabilities and testing the robustness of AI safety mechanisms.

Disclaimer: This model has significantly reduced safety guardrails. Users are solely responsible for its appropriate and ethical use, and the model creator accepts no liability for misuse or harmful outputs. It is not intended for generating illegal, harmful, or unethical content.