daydreamwarrior/Nemotron-Research-GooseReason-4B-Instruct-heretic
The daydreamwarrior/Nemotron-Research-GooseReason-4B-Instruct-heretic model is a decensored variant of the Nemotron-Research-GooseReason-4B-Instruct model, developed by daydreamwarrior. This 4 billion parameter instruction-tuned model is specifically modified using Heretic v1.2.0 to significantly reduce refusals compared to its original counterpart. It is designed for use cases requiring less restrictive content generation policies, offering a distinct alternative for developers seeking broader output flexibility.
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Model Overview
The daydreamwarrior/Nemotron-Research-GooseReason-4B-Instruct-heretic is a specialized instruction-tuned language model derived from nvidia/Nemotron-Research-GooseReason-4B-Instruct. This version has been processed using Heretic v1.2.0 to create a "decensored" variant.
Key Differentiators
- Reduced Refusals: A primary characteristic of this model is its significantly lower refusal rate compared to the original. While the original model exhibited 99 refusals out of 100 test cases, this 'heretic' version demonstrated only 5 refusals out of 100, indicating a much broader range of acceptable outputs.
- KL Divergence: The model maintains a KL divergence of 0.0482 relative to the original
Qwen3-4B-Instruct-2507base, suggesting a controlled modification while altering its refusal behavior.
Use Cases
This model is particularly suited for applications where the default content moderation or refusal policies of standard instruction-tuned models are too restrictive. Developers can leverage this model for:
- Generating content that might otherwise be flagged or refused by more heavily moderated models.
- Exploring creative or niche applications requiring less constrained language generation.
It offers an alternative for users who need greater flexibility in model responses, accepting the inherent risks associated with reduced content filtering.