nsfw

mature

unaligned

Model card Files Files and versions

xet

Community

Instructions to use ReadyArt/Melody1437-35B-A3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

llama-cpp-python

How to use ReadyArt/Melody1437-35B-A3B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ReadyArt/Melody1437-35B-A3B-GGUF",
	filename="Melody1437-35B-A3B-HB16-Q3_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ReadyArt/Melody1437-35B-A3B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use ReadyArt/Melody1437-35B-A3B-GGUF with Ollama:
```
ollama run hf.co/ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
```

Unsloth Studio

How to use ReadyArt/Melody1437-35B-A3B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ReadyArt/Melody1437-35B-A3B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ReadyArt/Melody1437-35B-A3B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ReadyArt/Melody1437-35B-A3B-GGUF to start chatting

How to use ReadyArt/Melody1437-35B-A3B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use ReadyArt/Melody1437-35B-A3B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use ReadyArt/Melody1437-35B-A3B-GGUF with Docker Model Runner:
```
docker model run hf.co/ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M
```

Lemonade

How to use ReadyArt/Melody1437-35B-A3B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ReadyArt/Melody1437-35B-A3B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Melody1437-35B-A3B-GGUF-Q4_K_M

List all available models

lemonade list

🧬 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.

📚 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.

🎭 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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GGUF

Model size

36B params

Architecture

qwen35moe

Hardware compatibility

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Model tree for ReadyArt/Melody1437-35B-A3B-GGUF

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Melody1437-35B-A3B-GGUF

✦ Melody1437 ✦

35B A3B PARAMETERS