Indexnusrefather/Qwen-3.5-2b-roleplay-tuned-v2-ERP-tolerant
Indexnusrefather/Qwen-3.5-2b-roleplay-tuned-v2-ERP-tolerant is a 2 billion parameter model based on the Qwen 3.5 architecture, fine-tuned by Indexnusrefather. This model is specifically optimized for complex roleplay and creative writing tasks, featuring improved punctuation and enhanced tolerance for explicit themes. It aims to provide a distinct writing style for generative applications requiring nuanced narrative capabilities.
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Overview
Indexnusrefather/Qwen-3.5-2b-roleplay-tuned-v2-ERP-tolerant is a specialized fine-tune of the Qwen 3.5 2 billion parameter model, developed by Indexnusrefather. This iteration builds upon previous versions with an improved training methodology and expanded dataset, focusing on enhancing its performance in complex roleplay scenarios and creative writing.
Key Capabilities
- Improved Creative Writing: The model is specifically tuned to generate more imaginative and engaging narratives.
- Enhanced Punctuation: Demonstrates better accuracy and consistency in punctuation usage, contributing to higher quality text output.
- Increased ERP Tolerance: Features improved tolerance for explicit themes and reduced refusal rates, making it suitable for a wider range of roleplay content.
- Distinct Writing Style: Aims to provide a unique and refined writing style compared to its base model.
Model Characteristics
While the model offers significant improvements in its target areas, users should be aware of possible instability. The developer notes challenges with quantization, recommending the use of BF16 for highest quality or exploring LoRA adapter files for deployment with the base model. Alternative quantization options like INT8W8A16, FP8, and NVFP4 are also available, offering very high to high quality outputs, with INT4W4A16 providing a smaller memory footprint at a slightly reduced quality.