Hourly Usage
Performance Metrics
Median Total Time
28.90s
Median TTFT
6.56s
Median Prefill TPS
1058.80
Median Gen TPS
6.25
Model Information
Context Size
262144
Quantization
r64 on INT8
Engine
vllm
Creation Method
Merge
Model Type
Gemma31B
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
9/26/2026
base_model:
- google/gemma-4-31B-it base_model_relation: finetune tags:
- gemma-4
- roleplay
- conversational
- instruct
- apache-2.0
- nsfw
- adult-content
- unaligned
- mature
- explicit
- erp license: apache-2.0
Serenity-31B
Balance achieved. Control surrendered.
Note for thinking to work, you must use "chat_template_kwargs": {"enable_thinking": true, "reasoning_effort": "medium"} in SillyTavern's Chat Completion / Additional Parameters.
🌊 What Is Serenity?
Born from the convergence of two lineages, Serenity-31B harmonizes the best of both worlds — the expressive depth of Melody and the immersive presence of Darkside — into a single, balanced model.
- 🧠 Dual Heritage: Combines Melody's male → female perspective with Darkside's female → male perspective
- ⚖️ Balanced Tone: Refined personality that flows naturally without overwhelming the narrative
- 🎭 Enhanced Depth: LoRA 80 captures nuanced behavioral patterns from both parent approaches
🧬 Synthetic Life Engine
Dataset generated using our advanced Character Engine and Emotional Engine, creating genuine life and emotional resonance in every interaction.
🎭 Character Engine
Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.
💓 Emotional Engine
Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.
✨ Quality Refinement
Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.
💬 Dialogue Integrity
Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.
🧠 Training Details & Parameters
Fine-tuned using LoRA (Low-Rank Adaptation) for efficient and targeted weight adjustment, preserving the base model's capabilities while imprinting new behavioral patterns.
🔢 Epochs
Full passes through the training dataset for thorough learning
📐 LoRA Rank
Higher rank for richer adaptation and nuanced expression
| Parameter | Value |
|---|---|
| Training Method | LoRA (Low-Rank Adaptation) |
| LoRA Rank (r) | 80 |
| Epochs | 2 |
| Trained Layers | Text layers only |
- 🎯 Method: LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors
- ⚡ Efficiency: Only a fraction of parameters updated, keeping the model lean and responsive
- 🎭 Result: Maintains coherence while exhibiting the desired personality traits and interaction style
🔮 Training Process
Model weights subjected to iterative refinement during data creation. Each conversation underwent multiple checks for stability and alignment.
- 🔄 Multi-Turn Generation: Conversations built turn-by-turn for natural context flow
- 🛡️ Refusal Filtering: Automated systems detected and removed unwanted refusals
- 🧹 Slop Cleaning: Undesirable phrases identified and rewritten by dedicated assistant models
📚 Dataset Overview
Model trained on a specialized adult-oriented roleplay dataset with diverse scenarios and emotional contexts, drawing from the strengths of both parent lineages.
- 🔞 Content Rating: Strictly 18+ (Adults Only)
- 🎭 Focus: Mature themes, immersive roleplay, uncensored dialogue
📜 Version Notes
- ⚠️ Content Warning: This model can generate mature content. Use responsibly.
- 🧹 Clean Output: Reasoning tags and excessive markdown stripped for cleaner roleplay
- 🔀 Hybrid Lineage: Combines the male → female perspective of Melody1437 with the female → male perspective of Darkside into a unified, balanced model
⚙️ Configuration
🎛️ Sampler Settings
Recommended parameters for optimal output
📦 GGUF Quantizations
Available formats for local inference
- Q4_K_MDecent Quality
- Q5_K_MRecommended
- Q6_KHigh Quality
- Q8_0Near Lossless
💖 Credits
-
GECFDO — Data Generation & iMatrix Quants
-
Sleep Deprived — Dataset Generator
-
FrenzyBiscuit — Fine-Tuning & Dataset Creation
🔖 License & Usage
- 📜 Built upon the Apache 2.0 license
- 🛡️ You accept full responsibility for all outputs generated
- 🔞 You confirm you are at least 18 years old
- 🌍 Creators bear no responsibility for how the model is used
- 🏡 For personal use only (non-profit/non-commercial) to the extent legally allowed