ReadyArt_Serenity-26B-A4B-GGUF--q8_0
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base_model:
- ReadyArt/Serenity-26B-A4B base_model_relation: quantized tags:
- gemma-4
- roleplay
- conversational
- instruct
- apache-2.0
- nsfw
- adult-content
- unaligned
- mature
- explicit
- erp license: apache-2.0
Serenity-26B-A4B
⚡ v1.0Balance achieved. Control surrendered.
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-26B-A4B 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
2Full passes through the training dataset for thorough learning
📐 LoRA Rank
80Higher 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
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
💖 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
Magnet link
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magnet:?xt=urn:btih:2a7cb565e7a1494b397d8ade8e774f442bd14532&dn=ReadyArt_Serenity-26B-A4B-GGUF--q8_0Open magnet in torrent client · infohash 2a7cb565e7a1494b397d8ade8e774f442bd14532
Files & hashes
| Path | Size | sha1 | sha256 |
|---|---|---|---|
| README.md | 19.7 KB (20,143 B) | 8c7375c6a9aa2f645ce44f289ea99543623f6a80 | 19d9fa353dce2ad0d3feaa04011ab9a350849f8aa595cfd433a2259ff5fa2bfa |
| Serenity-26B-A4B-Q8_0.gguf | 25.02 GB (26,859,859,904 B) | — | 210232177c28ff8f16ecf62b7aa0d82e4b135c8bc8f7921acd91e7543fca511a |
Cite this release
- Canonical URL
- https://aiseedbank.org/models/ReadyArt_Serenity-26B-A4B-GGUF--q8_0/
- Slug
- ReadyArt_Serenity-26B-A4B-GGUF--q8_0
- Infohash
- 2a7cb565e7a1494b397d8ade8e774f442bd14532
- License
- apache-2.0
- Signing key fingerprint
- 85a3b32c3712427b
Every file carries a locally computed sha256 — verify a download against the signed sums: ReadyArt_Serenity-26B-A4B-GGUF--q8_0.SHA256SUMS (+ minisign signature).
Provenance
| Upstream repository | ReadyArt/Serenity-26B-A4B-GGUF |
|---|---|
| Revision (pinned) | 644908e4cee7807801cc6363cfd5cc4c7240b19a |
| Fetched at | 2026-08-31T23:53:15Z |
| License at fetch | apache-2.0 |
| Snapshot tool | huggingface · seedbank 0.1.0 |
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✓ verified · rehash-vs-hf-metadata at 2026-08-31T23:58:25Z
apache-2.025.02 GB (26,859,880,047 bytes)ggufgemma-4roleplayconversationalinstructnsfwadult-contentunalignedmatureexpliciterpendpoints_compatible