Dockerfile.train builds a CUDA 12.4 + unsloth container that consumes the Trainline JSONL datasets and emits a LoRA adapter at data/adapters/<run>/final. Defaults target a 24 GB GPU (Qwen3.5-4B-Instruct-bnb-4bit, r=16, bf16, 3 epochs, effective batch 8). README documents the build + run workflow. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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80 B
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10 lines
80 B
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.venv/
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.git/
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data/
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docs/archive/
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__pycache__/
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*.pyc
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*.egg-info/
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.idea/
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.vscode/
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