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Raiff1982/Codette-Training

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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

FilePurpose
train_codette_lora.pyTraining script — runs as a HF Job
codette_combined_train.jsonl2,136 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: qproj, vproj
  • —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.