Instructions to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf rambrogi/lyrics-room-structured-panel-definitive-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 rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf rambrogi/lyrics-room-structured-panel-definitive-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 rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
Use Docker
docker model run hf.co/rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "rambrogi/lyrics-room-structured-panel-definitive-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rambrogi/lyrics-room-structured-panel-definitive-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
- Ollama
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with Ollama:
ollama run hf.co/rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
- Unsloth Studio
How to use rambrogi/lyrics-room-structured-panel-definitive-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 rambrogi/lyrics-room-structured-panel-definitive-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 rambrogi/lyrics-room-structured-panel-definitive-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rambrogi/lyrics-room-structured-panel-definitive-GGUF to start chatting
- Pi
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf rambrogi/lyrics-room-structured-panel-definitive-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": "rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with Docker Model Runner:
docker model run hf.co/rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
- Lemonade
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.lyrics-room-structured-panel-definitive-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use rambrogi/lyrics-room-structured-panel-definitive-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf rambrogi/lyrics-room-structured-panel-definitive-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 rambrogi/lyrics-room-structured-panel-definitive-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
Lyrics Room — Structured Panel (Definitive Q4_K_M GGUF)
The Structured Panel (Definitive) is an open-source, multi-role review, evaluation, and creative direction model. Fine-tuned from unsloth/gemma-4-12b-it, this single 5.34 GB GGUF model efficiently powers 5 distinct specialized roles in an automated AI songwriting pipeline:
- Creative Director: Concept authoring, brief synthesis, genre/tone definition, and structural planning.
- Hook Doctor: Chorus & hook catchy-factor analysis, rhythm evaluation, melodic contrast, and stickiness auditing.
- Humanity Critic: AI tell detection, cliché elimination, forced metaphor audit, and authenticity checking.
- Continuity Editor: Narrative flow verification, verse-to-chorus transition auditing, and section balance.
- Producer Judge: Holistic evaluation, numerical scoring (0–100), approval decision, and targeted repair generation.
- Base Model:
unsloth/gemma-4-12b-it - Fine-Tuning: QLoRA SFT on structured critic/judge evaluation datasets
- Quantization:
Q4_K_M(lyrics-room-structured-panel-definitive.Q4_K_M.gguf, ~5.34 GB) - Serving: Run locally via LM Studio, Ollama, llama.cpp, vLLM, or any OpenAI-compatible server under model ID
lyrics-room-structured-panel-definitive.
1. How it Works in Isolation
Role Functions & Output Contracts
A. Creative Director Role
- Input: Prompt/theme, target genre, style notes, length budget.
- Output: Structured Creative Brief outlining theme, narrative arc, emotional progression, key imagery, and recommended section flow.
B. Hook Doctor Role
- Input: Sung lyric draft (specifically Chorus and Hook sections).
- Output: Evaluation of rhythmic punch, phonetics, melodic memory hooks, and contrast against verse material.
C. Humanity Critic Role
- Input: Full lyric draft.
- Output: Audit report flagging generic AI tropes (e.g. "neon lights", "shadows dance", "echoes in the dark"), forced rhymes, abstract posture, and recommending concrete human detail replacements.
D. Continuity Editor Role
- Input: Full lyric draft + Creative Brief.
- Output: Consistency report checking narrative arc, verse progression, section length ratios, and theme alignment.
E. Producer Judge Role
- Input: Full lyric draft + reports from Hook Doctor, Humanity Critic, and Continuity Editor.
- Output: Final verdict JSON containing overall score (0–100), pass/fail decision (
acceptorrepair), and specific targeted repair instructions if rejected.
2. Using in Conjunction: The Multi-Stage Lyrics Room Pipeline
The Structured Panel operates at Phase 1 (Creative Director) and Phase 3 (Critic & Judge Panel) of the 5-phase Lyrics Room workflow:
graph TD
A[Phase 1: Creative Director - Structured Panel] -->|Creative Brief| B[Phase 2: Topline Writer v9]
B -->|Lyric Draft| C[Phase 3: Critic Panel - Structured Panel]
C -->|Hook Doctor Audit| C1[Hook & Rhythm Report]
C -->|Humanity Critic Audit| C2[Anti-AI Tropes Report]
C -->|Continuity Editor Audit| C3[Narrative & Section Report]
C1 & C2 & C3 --> D[Producer Judge - Structured Panel]
D -->|If Repair Needed| B
D -->|If Accepted| E[Phase 4: Suno Director v4]
E --> F[Phase 5: Final Refiner Ozan v1]
F --> G[Suno v5.5 / Audio Engine]
Efficiency Advantage
By multiplexing 5 roles into one compact 5.34 GB GGUF model (lyrics-room-structured-panel-definitive), GPU VRAM requirements are kept low. The model remains resident in memory while serving review and feedback loops without needing weight swaps.
Quickstart (LM Studio / OpenAI API)
import openai
client = openai.OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio")
# Calling Humanity Critic Role
response = client.chat.completions.create(
model="lyrics-room-structured-panel-definitive",
messages=[
{"role": "system", "content": "You are the Humanity Critic. Audit the lyrics for generic AI clichés, forced rhymes, or abstract posture."},
{"role": "user", "content": "Lyrics to audit:
[Chorus]
In the neon shadows we dance tonight
Chasing the echoes till the morning light"}
]
)
print(response.choices[0].message.content)
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