GitLab

* don't override do_sample if no value for it is passed

* Update gen_kwargs override condition

* Update huggingface.py

* Update huggingface.py

* run linters

* silence an erroneous warning

* raise Exception, not a string

Additional info https://peps.python.org/pep-0352/#exception-hierarchy-changes
https://docs.python.org/3.8/tutorial/errors.html#raising-exceptions

* Apply PEP8 recommendation to prefer isinstance

"Object type comparisons should always use isinstance() instead of comparing types directly"
https://peps.python.org/pep-0008/

* Remove dangerous default mutable values in arguments

https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/dangerous-default-value.html

* Format logging messages with fstring (not with format)

Additional info
https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/logging-format-interpolation.html
There are also discussions about the speed of formatting while logging or some unintended code executions
https://github.com/pylint-dev/pylint/issues/2395
https://stackoverflow.com/a/54368109
but at least one format (fstring one) will be used throughout the project

* Specify utf-8 encoding for `open` explicitly

If not specified, it may be supposed differently in different environments, OSes, and Python versions. See
https://peps.python.org/pep-0597/
https://docs.python.org/3.11/library/locale.html#locale.getencoding
https://docs.python.org/3.10/library/os.html#utf8-mode
https://pylint.readthedocs.io/en/stable/user_guide/messages/warning/unspecified-encoding.html

Helps also if some code from English language tasks is taken as inspiration for tasks in non-English languages.

* Use inline-ignoring comments to pass pre-commit instead of identity process

https://flake8.pycqa.org/en/3.0.1/user/ignoring-errors.html#in-line-ignoring-errors
https://www.flake8rules.com/rules/F841.html

flake8 comments are supported by ruff: https://docs.astral.sh/ruff/linter/#error-suppression

* added intel optimum

* added intel optimum in readme

* modified intel optimum

* modified intel optimum

* modified intel optimum

* modified install optimum

* modified path of IR file

* added openvino_device

* added openvino_device2

* changed optimum-causal to openvino-causal

* Update README.md

* Update README.md

* remove `lm_eval.base` import

* update openvino-causal -> openvino ; pass device through super().__init__()

* Update README.md

* Add optimum to tests dependencies

* apply pre-commit

* fix so tests pass

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

* manage default (greedy) gen_kwargs in vllm better

* mirror HF `do_sample`

* just need to set temp=0 for greedy

* Add `local-completions` support using OpenAI interface

* Refactor oa_completion

* Address tokenizer comments and change request chunks to batch size

* Add warning message for tiktoken backend

* fix formatting

* fix whitespace

* Update README.md

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

* add WIP device_map overrides

* update handling outside of accelerate launcher

* change .to(device) log to debug level

* run linter

* fix incorrect lookback protections

* bump generate_until task versions

* copies max_length from huggingface

* handle max_length properly

* get tokens from inputs

* substitute Collator for Reorderer

* `batch=auto` if using data_parallel

* nit

* cleanup

* update code comments

* `ray.shutdown()` after calling method if data_parallel_size > 1

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

* auto-batch requires len of iter

* handle case when batch_size="auto:N"

* fix group

* siqa: default.yml -> default.yaml

* max_gen_toks -> self.max_gen_toks

* add ids to task tests

* fix siqa

* fix gen_kwargs for openai-chat

* 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>

* 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

* add mambaLMWrapper

* add mamba extra

* add mamba extra

* fix conditional import

* Fix botched merge commit

* Remove beginning-of-file comment for consistency

* Add docstring for mambaLM re: supported kwargs

* Alphabetize extras

* Update extras table

* appease precommit

* run precommit on mamba_lm

* Add retry error handler

* fixup! Add retry error handler

* Move to utils.py

* Run isort on utils.py

* Catch multiple exceptions

* Update LMs with exception handler

* Fixes to anthropic retry handler

* fix callback kwarg

* Update textsynth.py

* fix python 3.8 incompatibility

* fix indenterror I introduced

* placate linter?

* Update on_exception_callback kwarg name

* fixup! Merge branch 'main' into add-retry-error-handler

* fixup! fixup! Merge branch 'main' into add-retry-error-handler

* Merge conflicts are fun

* Run pre-commit

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

* remove tokenizer for openai chat completions

* reordering function

* linter

* remove tiktoken import

* separate local flag

* tokenizer_backend

* import order

* LocalChatCompletionsLM add

* clean up completions class

* clean up completions class

* update tokens

* README

* fix constructor

* eos token

* folding local-chat-completions into OpenAIChatCompletions

* refactoring to include gen_kwargs as passable option

* add todo on chat completion kwarg validation

* Ruff and README fix

* generalize to **kwargs

* remove unnecessary kwargs

* README and remove kwargs

* README

* 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>

* fixed syntactic nits

* fix temperature and seed

* fix logprobs

* fixup merge

* enabling OpenAI completions via gooseai

* openai-completions and pin openai

* fix: passing max_length to vllm engine args

* feat: add `max_model_len`

* chore: lint

* 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