Codette LoRA Adapters - 9 Perspective Lenses

9 specialized LoRA adapters for the Codette Multi-Perspective Reasoning System, trained on Llama 3.1 8B Instruct.

These adapters enable instant perspective-switching via hot-swap at inference time. Each adapter specializes in a distinct cognitive reasoning style.

Adapters

Training Configuration

Phase 6+ Framework

All adapters are trained with awareness of the Codette Phase 6+ framework:

• Semantic Tension Engine: Epistemic tension (xi) measurement between perspectives
• Coherence Field (Gamma): Monitors reasoning health, detects collapse patterns
• Quantum Spiderweb: Belief propagation network across adapter perspectives
• AEGIS Ethical Governance: 6-framework ethical validation layer
• Specialization Tracking: Domain expertise tracking per adapter
• Pre-flight Prediction: Conflict prediction before multi-agent debate

File Structure

codette-lora-adapters/
  newton-lora-f16.gguf          # 27 MB each
  davinci-lora-f16.gguf
  empathy-lora-f16.gguf
  philosophy-lora-f16.gguf
  quantum-lora-f16.gguf
  consciousness-lora-f16.gguf
  multi_perspective-lora-f16.gguf
  systems_architecture-lora-f16.gguf
  orchestrator-lora-f16.gguf
  newton/                       # SafeTensors format (each ~27 MB)
  davinci/
  ...etc

Usage

Hot-Swap with llama-cpp-python

from llama_cpp import Llama

# Load base model
llm = Llama(model_path="codette-orchestrator-Q4_K_M.gguf", n_ctx=4096, n_gpu_layers=35)

# Apply a LoRA adapter
llm.load_lora("newton-lora-f16.gguf")

response = llm.create_chat_completion(
    messages=[{"role": "user", "content": "Explain gravity"}],
    max_tokens=512,
)

With Codette Orchestrator

from codette_orchestrator import CodetteOrchestrator

orch = CodetteOrchestrator()
result = orch.generate("What is consciousness?", adapters=["consciousness", "philosophy"])

Related Repos

• Raiff1982/codette-llama-3.1-8b-gguf - Quantized base GGUF model
• Raiff1982/codette-llama-3.1-8b-merged - Full-precision merged model
• Raiff1982/Codette-Reasoning - Training datasets

License

Subject to the Llama 3.1 Community License.