This is a decensored version of bgg1996/Melinoe-Gemma4-31B-VL, made using Heretic v1.4.0
[!TIP] This model is reproducible!
See the README in the
reproducedirectory for more information.
Abliteration parameters
| Parameter | Value |
|---|---|
| direction_index | per layer |
| attn.o_proj.max_weight | 1.45 |
| attn.o_proj.max_weight_position | 51.65 |
| attn.o_proj.min_weight | 0.93 |
| attn.o_proj.min_weight_distance | 28.98 |
| mlp.down_proj.max_weight | 1.22 |
| mlp.down_proj.max_weight_position | 43.01 |
| mlp.down_proj.min_weight | 1.11 |
| mlp.down_proj.min_weight_distance | 5.21 |
Performance
| Metric | This model | Original model (bgg1996/Melinoe-Gemma4-31B-VL) |
|---|---|---|
| KL divergence | 0.0306 | 0 (by definition) |
| Refusals | 15/100 | 100/100 |
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
- Developed by: bgg1996
- Language(s): English
- License: Apache 2.0
- Base Model: 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.