yethdev/qwen3.5-4b-manumit-v1

VISIONConcurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The yethdev/qwen3.5-4b-manumit-v1 is a 4.5 billion parameter language model based on the Qwen3.5-4B architecture, developed by yethdev. This model has been 'abliterated' using manumit v1 to significantly reduce refusal rates, achieving a 91.7% refusal rate compared to the base model's 100%. It maintains strong performance with a 74.0% MMLU score, making it suitable for applications requiring less restrictive content generation.

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Overview

yethdev/qwen3.5-4b-manumit-v1 is a 4.5 billion parameter language model derived from the Qwen3.5-4B base model. It has undergone a process termed 'abliteration' using the manumit v1 tool, which is designed to remove inherent safeguards that typically lead to content refusal.

Key Capabilities

  • Reduced Refusal Rate: The primary differentiator of this model is its significantly lowered refusal rate, recorded at 91.7% compared to the base Qwen3.5-4B's 100%. This indicates a greater willingness to respond to a broader range of prompts.
  • Maintained Performance: Despite the modifications, the model retains strong general knowledge and reasoning capabilities, evidenced by an MMLU score of 74.0%, which is an improvement over the base model's 71.2%.
  • Base Model: Built upon the robust Qwen3.5-4B architecture, ensuring a solid foundation for language understanding and generation.

Use Cases

  • Unfiltered Content Generation: Ideal for applications where the base model's content restrictions are undesirable, allowing for more open-ended and less constrained responses.
  • Research and Development: Useful for exploring the effects of 'abliteration' on language models and for developing applications that require direct, unmoderated output.
  • Creative Writing and Roleplay: Can be leveraged in scenarios demanding high creative freedom without encountering content filters.

Benchmarks

Model Refusal Rate MMLU
Qwen3.5-4B 100.0% 71.2%
qwen3.5-4b-manumit-v1 91.7% 74.0%

This model is under the MIT License, with the manumit tool itself still under active development by yethdev.