38dacb8a1f* feat(studio): route CLI trainer to MLX backend * fix(studio): harden MLX trainer routing * fix(studio): harden MLX trainer adapter routing * test(studio): assert MLX CLI activation order * fix(studio): address MLX CLI review feedback * feat(cli): support MLX in legacy script * fix(cli): adapt MLX tokenizer for raw text * fix(cli): omit unsupported MLX eval batch arg * fix(cli): feed raw text to MLX trainer * Fix CLI MLX routing and Python 3.9 annotations Route the MLX backend through create_mlx_trainer_adapter so the torch-free Apple Silicon path never imports trainer.py (torch/unsloth/trl). Replace from __future__ import annotations with typing.Optional/Union so the CLI annotations stay Python 3.9 compatible without the unused-import lint hit. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Strip return_tensors from MLX raw-text tokenizer proxy On a torch-free MLX install, RawTextDataLoader calls the tokenizer with return_tensors='pt'; the callable proxy forwarded that to the HF tokenizer, which tried to build torch tensors and failed before training. Drop return_tensors so the MLX path returns plain token ids. * Tighten CLI MLX-backend comments --------- Co-authored-by: Daniel Han <danielhanchen@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| resume.py | ||
| s3_dataset.py | ||
| trainer.py | ||
| training.py | ||
| worker.py | ||