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:

  1. Creative Director: Concept authoring, brief synthesis, genre/tone definition, and structural planning.
  2. Hook Doctor: Chorus & hook catchy-factor analysis, rhythm evaluation, melodic contrast, and stickiness auditing.
  3. Humanity Critic: AI tell detection, cliché elimination, forced metaphor audit, and authenticity checking.
  4. Continuity Editor: Narrative flow verification, verse-to-chorus transition auditing, and section balance.
  5. 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 (accept or repair), 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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