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SFT mega augment + move dataset to HF dataset repo
- 580K entries, 140M tokens, 2.9% identity (was 302K/82M/0.15%)
- Dataset now hosted at ASTERIZER/Luna_Dataset (auto-downloads at train start)
- Removed LFS dataset files from Space repo
- Added mega_augment_sft.py, boost_identity.py, chat.py
- Updated sft_train.py with dataset auto-download from HF -
Add SFT pipeline: 302K clean dataset + auto-download pretrained from HF
- sft_train.py: full SFT trainer with prompt masking, checkpoint eval, auto-downloads pretrained from ASTERIZER/LUNA-100M
- sft_config.yaml: epochs=2, lr=1.5e-5, batch=64, 10 eval prompts
- setup_and_sft.sh: one-command cloud SFT setup
- 302,785 SFT entries (82M tokens), LFS-tracked JSON
- Dataset scripts: deep_clean_sft.py, augment_sft.py
