evildevlive/Qwen3-Sex

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 16, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

Qwen3-Sex is a 4 billion parameter instruction-tuned conversational model developed by evildevlive, based on Qwen/Qwen3-4B-Instruct-2507. It is specifically fine-tuned for generating adult-oriented content and explicit descriptions, with a recommended context length of 4K–32K tokens from its native 262K. This model is intended for users aged 18 and above for non-commercial, academic research, or fictional creation purposes.

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Model Overview

Qwen3-Sex is a 4 billion parameter conversational model, fine-tuned by evildevlive from the Qwen3-4B-Instruct-2507 base model. It is specifically designed and trained to generate adult-oriented content and explicit descriptions, making it suitable for mature audiences (18+) only. The model utilizes bfloat16 data type and supports a native context length of 262,144 tokens, with 4K–32K recommended for daily conversational use.

Key Characteristics

  • Base Model: Qwen/Qwen3-4B-Instruct-2507.
  • Content Focus: Explicitly fine-tuned for generating adult and sensitive content.
  • Context Length: Native support for 262,144 tokens, with practical usage recommended between 4K and 32K.
  • Chat Template: Uses the standard ChatML format (<|im_start|> / <|im_end|>).
  • Availability: Provided in safetensors (bfloat16) and GGUF formats (BF16 and Q8_0 quantized).

Intended Use Cases

This model is primarily intended for:

  • Academic Research: Studying the generation of adult-oriented text.
  • Personal Non-Commercial Use: For individual exploration and experimentation.
  • Fictional Creation: Assisting in the generation of explicit narratives or creative writing.

Important Note: Users are strongly advised to adhere to the provided generation_config.json for optimal performance, as these parameters have been specifically tuned for the model's intended output. The model comes with a strict disclaimer regarding its content and usage, emphasizing compliance with legal and ethical guidelines.