--- license: apache-2.0 base_model: - google/gemma-4-31B-it --- **Melinoe-Gemma4-31B-VL** is a large language model fine-tuned for engaging in empathetic, intellectually stimulating, and deeply personal conversations. Built upon the powerful reasoning foundation of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it), this model is designed to function as a supportive conversational partner. ## Model Details * **Developed by:** [bgg1996](https://huggingface.co/bgg1996) * **Language(s):** English * **License:** Apache 2.0 * **Base Model:** [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) ## 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 (`Gemma 4`) 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.