Update README.md

README.md

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-license: mit
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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
+
+| 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.