Gemma-4-31B-Melinoe

Creative model

View on Hugging FaceBack to Models

Hourly Usage

Performance Metrics

Median Total Time

41.15s

Median TTFT

0.52s

Median Prefill TPS

156.97

Median Gen TPS

39.22

Model Information

Context Size

262144

Quantization

r64

Engine

vllm

Creation Method

LoRA Finetune

Model Type

Gemma31B

Chat Template

Gemma4

Reasoning

Yes

Vision

Yes

Parameters

31B

Added At

7/19/2026

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, this model is designed to function as a supportive conversational partner.

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 (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.