Initial K3 snapshot: 0.5B KDA/MLA/MoE train path
Standalone tree split from LLMRL/projects/kda. Includes Triton dt_bias backward fix, train_k3 --preset 0.5b, SFT, Docker runtime, and tests.
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"""Training and checkpoint helpers."""
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from .toy import load_ckpt, make_toy_data, save_ckpt, train_one_batch
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__all__ = ["load_ckpt", "make_toy_data", "save_ckpt", "train_one_batch"]
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