GitLab

* refactor dataloader

* cleanup + add docs

* change arg

* renamed Collator and added testing

* parametrized test for Collator

* appease pre-commit

* added edge case batch 0 (no batching)

* fix typos

---------
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* add ruff and isort. remove black and flake8

* remove unnecessary dependencies

* remove dependency from table

* change order

* ran ruff

* check 3.9

* exclude evaluator

* update CI workflow

* use ruff config in pyproject.toml

* test

* add isort rules to ruff

* sort imports

* import `make_table`

* try stages for no-commit-to-branch

* turn on mypy for pre-commit

* test

* test

* test

* change no-commit-to-branch to default

* nits

* fixed dependency

* self.device in huggingface.py line 210

In huggingface.py line 210, self.device is str and does not have a "type" attribute

* Update huggingface.py

This handles both the case where `self.device` is a `torch.device` and a string

* Update huggingface.py

---------
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* modularize HFLM code

* pass through extra kwargs to AutoModel.from_pretrained call

* remove explicit model_kwargs

* rename gptq -> autogptq

* fix tokenizer pad token errors

* ensure model always respects device_map and autogptq's selected devices

* add a _get_config helper fn

in hugging face model loglikelihood_tokens and greedy_util functions
when batch-size is set to auto

This adds a bunch of simple annotations suggested by https://github.com/JelleZijlstra/autotyping.

`max_length` was misdefined as a tuple.