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+# LoRA Training on AMD
+
+## Overview
+
+### `shell.nix`
+Provides a development environment compatible within Nix. It handles:
+- Installing PyTorch optimized for AMD ROCm (`rocm7.2`).
+- Installing `unsloth` and `unsloth-zoo` for efficient fine-tuning.
+- Installing `marimo` and `ipython` as QOL.
+
+### `train.py`
+A `marimo` script that executes the fine-tuning process:
+- Loads the `unsloth/Qwen3.5-0.8B` model in 16-bit.
+- Prepares a sample dataset (`laion/OIG/unified_chip2.jsonl`).
+- Configures Parameter-Efficient Fine-Tuning (PEFT) using LoRA (Rank 16).
+- Sets up an `SFTTrainer` (using 8-bit AdamW) and trains the model for 100 steps, saving results to `outputs_qwen35`.