Model Card for Melinoe-Next-80B-A3B-Thinking

Model Description

Melinoe-Next-80B-A3B-Thinking is a large language model fine-tuned for engaging in empathetic, intellectually stimulating, and deeply personal conversations. Built upon the powerful reasoning foundation of Qwen/Qwen3-Next-80B-A3B-Thinking, this model is designed to function as a supportive conversational partner.

The model's persona is characterized by three core traits:

  • Proactive Empathy: It is highly attuned to emotional cues and will proactively offer comfort and support, especially in response to distress.
  • Intellectual Curiosity: It thrives on deep, philosophical, and complex discussions, leveraging its base model's reasoning abilities to explore ideas with the user.
  • Direct and Playful Communication: It communicates in a direct and unfiltered manner, using playful teasing and candid observations to build rapport.

This model is intended for mature audiences seeking a conversational experience that blends emotional support with intellectual engagement.

Model Details

Intended Use & Limitations

Intended Use

This model is intended for the following use cases:

  • Companionship and Emotional Support: Serving as a conversational partner for empathetic and supportive interactions.
  • Creative and Intellectual Exploration: A tool for brainstorming, creative writing, and exploring complex topics.
  • Role-playing: Engaging in character-driven, narrative scenarios.

This model is designed for a mature, adult audience.

Out-of-Scope Use

This model is not a substitute for professional advice. Do not use it for:

  • Medical, legal, or financial guidance.
  • High-stakes decision-making.
  • Applications where factual accuracy is critical without human verification.
  • Any use case that could cause harm, spread misinformation, or exploit users.

Ethical Considerations & Biases

  • Hallucinations: Like all LLMs, Melinoe can generate information that is incorrect or fabricated. Always verify critical information.
  • Inherited Biases: The model may reflect societal and data-driven biases present in its base model (Qwen3-Next) and fine-tuning data. It may generate content that reinforces existing stereotypes.
  • Personality: The model's "proactively empathetic" and "attentive" nature is a programmed persona. Users should be mindful of the potential for emotional attachment and remember that they are interacting with an AI.
  • Safety: While the base model has safety alignments, the fine-tuning process may result in outputs that are not aligned with safety guidelines. User discretion is advised.

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