ReadyArt/Serenity-31B-v1.1-GGUF

🤗 Hugging Face 来源apache-2.0激活 31B131 GBGGUF✓ 6 个校验和今天更新

Serenity-31B

⚡ v1.1

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.
IQ4_XS has broken thinking. Q4_K_M seems to work with the above settings.

Content Advisory: Mature Themes / Adult Interactions — Intended for mature audiences only. GEMMA-4 BASED 🌊 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.

Lineage A Melody1437 Male → Female Perspective ✦ Lineage B Darkside Female → Male Perspective → Hybrid Serenity ⚠️ Perspective Note: Due to the merger of opposing perspective lineages, this tune may occasionally exhibit perspective confusion.
  • 🧠 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

2

Full passes through the training dataset for thorough learning

📐 LoRA Rank

80

Higher rank for richer adaptation and nuanced expression

ParameterValue
Training MethodLoRA (Low-Rank Adaptation)
LoRA Rank (r)80
Epochs2
Trained LayersText 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

0.92 Top-P 1.0 Temperature 0 Freq Pen 0 Presence Pen

📦 GGUF Quantizations

Available formats for local inference

  • Q4_K_MDecent Quality
  • Q5_K_MRecommended
  • Q6_KHigh Quality
  • Q8_0Near Lossless
⬇ View Repository 💖 Credits
  • GECFDO — Data Generation & iMatrix Quants
  • Sleep Deprived — Dataset Generator
  • FrenzyBiscuit — Fine-Tuning & Dataset Creation

🔖 License & Usage

⚠️ Usage Agreement: By using this model, you accept all terms and conditions.
  • 📜 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
Apache 2.0 Personal Use 18+ Content NSFW