* [WIP] Fast inference for qwen3.5
* fix tokenizer not saving properly
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* extend to VLM and clenaup
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* gate tokenizer.model saving
* fix for gated/private models
* Fix tokenizer save review findings
- save.py:261 restore dict-based _TOKENIZER_MODEL_CACHE so negative
results are cached; the set() in 0129fb5e regressed non-SentencePiece
tokenizer saves to a fresh HfApi.model_info call on every checkpoint.
Don't cache on exception so gated/private repos can retry later with a
valid token.
- save.py:282 guard `repo_info.siblings` with `or []`; huggingface_hub
types this Optional and returns None for empty or new repos, which
made any() raise TypeError out of save_pretrained.
- save.py:3487 split push_to_hub into local save + _preserve + push so
uploaded tokenizer_config.json/tokenizer.model include the fix rather
than the unfixed copies written before the upload.
- save.py:3352 call patch_saving_functions on tokenizers passed to
unsloth_save_pretrained_torchao to match the other three save
entrypoints; previously torchao saves skipped the preservation patch.
* Fix push_to_hub repo_id conflict and torchao token forwarding
- save.py:3493-3496 pop `repo_id` from kwargs (defaulting to
`save_directory`) before calling `self.push_to_hub(repo_id, **kwargs)`.
The previous `self.push_to_hub(save_directory, **kwargs)` passed
`save_directory` as the first positional `repo_id` while also
forwarding a user-supplied `repo_id` through kwargs, raising
`TypeError: got multiple values for argument 'repo_id'` on the
standard `save_pretrained(local_path, push_to_hub=True, repo_id=...)`
call shape. This regression was introduced by the earlier iteration
that split push_to_hub into an explicit second step.
- save.py:3314 forward `token=token` on the torchao non-PEFT
`tokenizer.save_pretrained(torchao_save_directory)` call so the
patched wrapper can reach gated repos when HF_TOKEN is not in the
environment. Left the sibling `unsloth_generic_save` call at 3063
untouched (blame points at an earlier full-finetuned
save_pretrained_merged fix and the token gap there is lower risk).
* Fix torchao tokenizer reload and push_to_hub repo_id default
- save.py:3283 after `auto_processor.from_pretrained(save_directory)`
re-runs `patch_saving_functions(tokenizer)` on the freshly loaded
tokenizer. The rebind at 3283 was overwriting the patched tokenizer
passed into `unsloth_save_pretrained_torchao`, so the subsequent
`tokenizer.push_to_hub` (3309) and `tokenizer.save_pretrained`
(3314) bypassed `_preserve_sentencepiece_tokenizer_assets` and left
`{save_directory}-torchao` without `tokenizer.model` / restored
`added_tokens_decoder`.
- save.py:3497 fall back to `os.path.basename(save_directory)` for
`repo_id` instead of the raw `save_directory`. The round-2 fallback
diverged from `transformers.PreTrainedTokenizerBase.save_pretrained`,
which defaults `repo_id = save_directory.split(os.path.sep)[-1]`;
nested local paths like `./out/my-repo` now resolve to `my-repo`
(the Hub id) instead of the full filesystem path.
* Revert tokenizer save_pretrained repo_id basename fallback
- save.py:3497 default `repo_id` back to `save_directory` as-is rather
than `os.path.basename(save_directory)`. The basename fallback (added
last iteration to match upstream transformers) stripped the user
namespace from the Unsloth convention `tokenizer.save_pretrained(
"user/repo", push_to_hub=True)`, redirecting the upload to
`{current_user}/repo`. save.py itself treats `save_directory` as the
repo id at 572, 593, 1723, 1779, 1836, 1844, 1858, and 3025, so the
wrapper should follow the same convention. Users who pass a nested
filesystem path with `push_to_hub=True` can supply explicit
`repo_id=...`.
* Guard processor.tokenizer recursion against None
save.py:3511 change `elif hasattr(model, "tokenizer")` to
`elif getattr(model, "tokenizer", None) is not None`. The previous
guard only checked attribute existence; a ProcessorMixin that sets
`tokenizer = None` (audio-only or manually constructed) would enter
the branch and crash inside the recursive patch_saving_functions on
`model.push_to_hub.__name__`.
* Add review tests for tokenizer save
* Consolidate review tests
Drop redundant assertion in test_patch_saving_functions_still_patches_non_none_tokenizer.
The hasattr check already proves the patch applied; the or-chained
repeat assertion added no signal.
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---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
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