Raiff1982/Codette-Training

Codette LoRA Fine-Tuning

Fine-tuning repo for Codette — a sovereign AI music production assistant built by Jonathan Harrison (Raiff's Bits).

What This Does

Trains a LoRA adapter on top of meta-llama/Llama-3.2-1B-Instruct using Codette's own framework data, so she responds with her real voice, identity, and perspectives rather than as a generic assistant.

Files

File	Purpose
train_codette_lora.py	Training script — runs as a HF Job
codette_combined_train.jsonl	2,136 training examples from Codette's framework

Output

When training completes, the adapter is automatically pushed to: Raiff1982/codette-llama-adapter

That adapter is then loaded by the Codette Space at: Raiff1982/codette-ai

Training Details

• Base model: meta-llama/Llama-3.2-1B-Instruct
• Method: LoRA (r=16, alpha=16)
• Target modules: q_proj, v_proj
• Examples: 2,136
• Epochs: 3
• Hardware: CPU (HF Jobs cpu-basic)

Running the Job

See the HF Jobs documentation or follow the instructions in the Space README.