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ReadyArt_Melody1437-26B-A4B-v2.0-GGUF--q8_0

ReadyArt · View on Hugging Face ↗

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base_model:

  • ReadyArt/Melody1437-26B-A4B-v2.0 base_model_relation: quantized tags:
  • gemma-4
  • roleplay
  • conversational
  • instruct
  • apache-2.0
  • nsfw
  • explicit
  • erp
  • adult-content
  • mature
  • unaligned license: apache-2.0

Melody1437-26B-A4B

v2.0

✨ It's a fabulous day! ✨

⚡ Evolutionary Upgrade: This is the same dataset as Melody1437-26B-A4B, retrained at a higher LoRA rank (64) for enhanced expressiveness and capability. CONTENT ADVISORY: MATURE THEMES / ADULT INTERACTIONS
This model is designed for mature audiences. Viewer discretion is advised. Your browser does not support the video tag.

🔄 What Changed?

This model builds upon the foundation of Melody1437-26B-A4B, using the identical dataset but with an upgraded LoRA configuration. The higher rank allows the model to capture more nuanced patterns and deliver richer, more expressive outputs.

Original LoRA 24 ➡️ Evolved LoRA 64
  • 🧠 Same Dataset: Identical training data to Melody1437-26B-A4B
  • Higher LoRA Rank: 64 (vs original 24) for greater expressiveness
  • 🎭 Enhanced Nuance: Captures subtleties the lower rank couldn't fully express

🧬 Synthetic Life Engine

The dataset was generated using our advanced Character Engine and Emotional Engine within the synthetic dataset generator, breathing genuine life into every interaction.

🎭 Character Engine

Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. No more broken personas.

💓 Emotional Engine

Injects dynamic emotional states into responses, creating depth, empathy, and realistic reactions beyond simple pattern matching.

✨ Quality Refinement

Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.

💬 Dialogue Integrity

Advanced quote normalization ensures perfectly balanced dialogue markers, preventing formatting errors in roleplay.

🔮 Training Process

The model weights were subjected to iterative refinement during data creation. Each conversation underwent multiple checks to ensure stability and alignment with the desired interaction style.

  • 🔄 Multi-Turn Generation: Conversations were built turn-by-turn, allowing context to flow naturally.
  • 🛡️ Refusal Filtering: Automated systems detected and removed unwanted refusals during dataset creation.
  • 🧹 Slop Cleaning: Undesirable phrases were identified and rewritten by dedicated assistant models.

🛠️ Training Parameters

This model was fine-tuned using LoRA (Low-Rank Adaptation) with the following configuration:

Parameter Value
Training Method LoRA (Low-Rank Adaptation)
LoRA Rank (r) 64
Epochs 3

📚 Dataset Overview

The model's knowledge base was imprinted upon a Explicit Adult ERP dataset, weaving a vast tapestry of knowledge into its weights during the initial training. This ensures a rich foundation for all future interactions.

  • 🔞 Content Rating: Strictly 18+ (Adults Only)
  • 🎭 Focus: Erotic Roleplay, Mature Themes, Uncensored Dialogue
  • 🌈 Diversity: Generated using variable system prompts and emotional states for varied responses.

📜 Version Notes

  • ⚠️ Content Warning: This model is capable of generating NSFW content. Use responsibly.
  • 🧹 Clean Output: Reasoning tags and excessive markdown have been stripped for cleaner roleplay.
  • ⬆️ Evolution: Same dataset as Melody1437-26B-A4B, retrained at LoRA 64 for enhanced performance.

🎭 Usage Guidelines

To unlock the full potential of this model, a structured roleplay system prompt is required. This model is optimized for immersive character interaction rather than standard instructional queries.

  • 📝 Initialization: Begin sessions with a clear character definition and scenario context.
  • 🎭 Format: Use asterisks for actions *like this* and quotes for dialogue "like this".
  • ⚠️ Limitation: Standard query-based prompting may result in refusals.
  • 💡 Tip: The model expects balanced quotes. Ensure your input dialogue is properly formatted.

⚠️ Technical Note

Only text layers were trained on.

⚙️ Configuration

🎛️ Sampling Config

top_p: 0.95
temp: 0.8
min_p: 0.03

📦 Quantized Files

GGUF Quants Below

View Repository

💖 Credits

  • GECFDO – Data Generation & iMatrix Quants
  • Sleep Deprived – Dataset Generator
  • FrenzyBiscuit – Fine-Tuning & Dataset Creation

🔖 License & Usage

⚠️ USAGE AGREEMENT:

  • 📜 This model is built upon the Apache 2.0 license.
  • 🛡️ You accept full responsibility for all outputs generated.
  • 🔞 You confirm you are at least 18 years old.
  • 🌍 The creators bear no responsibility for how the model is used.
  • 🏡 To the extent legally allowed under the original decree this model is for personal use only (non-profit/non-commercial).
Apache 2.0 Personal Use 18+ Content NSFW

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magnet:?xt=urn:btih:928f7e8dfa9b87f822b70183bd2b4a4926715bb3&dn=ReadyArt_Melody1437-26B-A4B-v2.0-GGUF--q8_0

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Files & hashes

PathSizesha1sha256
Melody1437-26B-A4B-v2.0-Q8_0.gguf25.02 GB (26,859,859,424 B)cf49a5b3c633581a861c956e2831e1177855dea27faf9f1347e515505adbee7b
README.md22.4 KB (22,909 B)ceb84775ab827a812089f4e9fb42077d94ca1d87f7d6b352e629a18a50581741603b4f9e896297c9fbae56e6eb94a18156cb8eca

Cite this release

Canonical URL
https://aiseedbank.org/models/ReadyArt_Melody1437-26B-A4B-v2.0-GGUF--q8_0/
Slug
ReadyArt_Melody1437-26B-A4B-v2.0-GGUF--q8_0
Infohash
928f7e8dfa9b87f822b70183bd2b4a4926715bb3
License
apache-2.0
Signing key fingerprint
85a3b32c3712427b

Every file carries a locally computed sha256 — verify a download against the signed sums: ReadyArt_Melody1437-26B-A4B-v2.0-GGUF--q8_0.SHA256SUMS (+ minisign signature).

Provenance

Upstream repositoryReadyArt/Melody1437-26B-A4B-v2.0-GGUF
Revision (pinned)b22520a5c83db6ff0d12aef1fd461c932ba86fbf
Fetched at2026-08-31T23:42:52Z
License at fetchapache-2.0
Snapshot toolhuggingface · seedbank 0.1.0

Trackers

✓ verified · rehash-vs-hf-metadata at 2026-08-31T23:48:04Z

apache-2.025.02 GB (26,859,882,333 bytes)ggufgemma-4roleplayconversationalinstructnsfwexpliciterpadult-contentmatureunalignedendpoints_compatible