richardyoung/qwen3-32b
The richardyoung/qwen3-32b model is an uncensored 32 billion parameter large language model based on the Qwen3ForCausalLM architecture, developed by Richard Young using the Heretic abliteration technique. It features a 40,960 token context length and has had its refusal behaviors removed to allow responses to a wider range of queries. This model is primarily intended for research, educational purposes, and understanding model limitations without built-in restrictions.
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Overview
This model, richardyoung/qwen3-32b, is an abliterated version of the Qwen/Qwen3-32B base model, featuring 32 billion parameters and a 40,960 token context length. It was created by Richard Young using the Heretic technique, which removes refusal behaviors by suppressing the "refusal direction" in the model's activation space. This modification allows the model to respond to a broader spectrum of prompts without built-in safety guardrails.
Key Characteristics
- Uncensored Responses: Refusal behaviors have been removed, enabling the model to generate content that might otherwise be restricted.
- Base Model: Built upon the robust Qwen/Qwen3-32B architecture.
- Context Length: Supports a substantial context of 40,960 tokens.
- Abliteration Technique: Utilizes the Heretic method to modify model behavior, not to add new capabilities but to remove trained restrictions.
Intended Use Cases
- Research and Education: Ideal for studying model behavior, limitations, and the effects of abliteration.
- Creative Writing & Roleplay: Suitable for scenarios requiring unrestricted content generation with consenting adults.
- Red-teaming and Safety Research: Can be used to test and understand potential vulnerabilities or biases in LLMs.
Important Disclaimer
Users are solely responsible for the content generated and must comply with all applicable laws and ethical guidelines. This model may produce inaccurate, biased, or inappropriate content due to the removal of safety guardrails.