# MLX LoRA Training Config — Apple Silicon
# Replaces: autolora/train_modal.py for local training
#
# Usage:
#   mlx_lm.lora --config training/mlx-lora.yaml
#
# Runs on Mac M-series. No cloud needed for small models.
# v0.1 was trained this way: 1,214 samples, 7.8 GB peak, 48 tok/s on M3 Max.

model: mlx-community/Hermes-3-Llama-3.1-8B-4bit
data: data/mlx_curated
train: true
iters: 1000
batch_size: 2
learning_rate: 2e-6
lora_layers: 16
steps_per_report: 10
steps_per_eval: 100
save_every: 200
adapter_path: ./output/mlx-adapters
