GitLab

* default chat template method fix

* move chat_template to TemplateLM

* remove hotfix

* handle openai `chat_template`

* Update lm_eval/api/model.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* add 'max_tokens' to gen_kwargs

* pre-commit

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

* add temperature for log probs

* add seed

* nit

* add new args to test

* added warning for api chat models

* encoding bugfix

* encoding bugfix

* overload logliklehood rather than loglikehood_tokens

* add custom tokenizer

* add docs

* Update API_guide.md

fix link; add note

* Update API_guide.md

typo

* pre-commit

* add link in readme

* nit

* nit

* nit

* Update API_guide.md

nits

* Update API_guide.md

* Update API_guide.md

* Update API_guide.md

* Update API_guide.md

* Update README.md

* Update docs/API_guide.md

* Update docs/API_guide.md

* Update API_guide.md

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

* refactor pad_token handling to fn

* fix docs

* add pad_token_handling to vllm

* start on API superclass

* don't detokenize the returned logits

* streamline vllm tokenizer

* add type hint

* pre-commit

* seems to be in working order

* add model to init

* refactor api models

* nit

* cleanup

* add pbar

* fix type hints

* change optional dependencies

* json encode chat template

* add type hints

* deal with different prompt input requiremnts

* nits

* fix

* cache inside async

* fix

* fix

* nits

* nits

* nits

* nit

* fixup

* fixup

* nit

* add dummy retry

* add dummy retry

* handle imports; skip failing test

* add type hint

* add tests

* add dependency to tests

* add package names to exception

* nit

* docs; type hints

* handle api key

* nit

* tokenizer bug

* fix tokenizer

* nit

* nit

* add better error messages

* nit

* remove decorator

* CI: install api dep

* revert evaluator.py

* consolidate

* consolidate

* nits

* nit

* fix typealias

* nit

* nit

* nit

* Update lm_eval/models/api_models.py

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

* Update lm_eval/models/openai_completions.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Update lm_eval/models/anthropic_llms.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* Update lm_eval/models/api_models.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* fix typo

* add news section

* add info for API

* pre-commit

* typo

* fix bug: unpack logliklehood requests

* fix bug: shared gen_kwargs mutated

* nit: handle copy properly

* Update README.md

* Update README.md

* Update README.md

* Update api_models.py

* Update README.md

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

* remove echo parameter in OpenAI completions API

* remove context length parameter doc string

The OpenAI interface supports batch size as an argument to the completions API, but does not seem to support specification of this on the CLI i.e. `lm_eval --model openai-completions --batch_size 16 ...` because of a simple lack of str->int conversion.

This is confirmed by my usage and stacktrace from running `OPENAI_API_KEY=dummy lm_eval --model local-completions --tasks gsm8k --batch_size 16 --model_args model=nm-
testing/zephyr-beta-7b-gptq-g128,tokenizer_backend=huggingface,base_url=http://localhost:8000/v1`:
```
Traceback (most recent call last):
  File "/home/michael/venv/bin/lm_eval", line 8, in <module>
    sys.exit(cli_evaluate())
  File "/home/michael/code/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
    results = evaluator.simple_evaluate(
  File "/home/michael/code/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
    return fn(*args, **kwargs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/evaluator.py", line 251, in simple_evaluate
    results = evaluate(
  File "/home/michael/code/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
    return fn(*args, **kwargs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/evaluator.py", line 390, in evaluate
    resps = getattr(lm, reqtype)(cloned_reqs)
  File "/home/michael/code/lm-evaluation-harness/lm_eval/models/openai_completions.py", line 263, in generate_until
    list(sameuntil_chunks(re_ord.get_reordered(), self.batch_size)),
  File "/home/michael/code/lm-evaluation-harness/lm_eval/models/openai_completions.py", line 251, in sameuntil_chunks
    if len(ret) >= size or x[1] != lastuntil:
TypeError: '>=' not supported between instances of 'int' and 'str'
```

* add manual tqdm disabling management

* add typing to all new args

* apply precommit changes

---------
Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>

Update installation commands in openai_completions.py and contributing document and, update wandb_args description (#1536)

* Update openai completions and docs/CONTRIBUTING.md

* Update wandb args description

* Update docs/interface.md

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

* Fixed generation args issue affection openai completion model

* Fixed hf unit test; removed pop attributes in OpenAi completion.

* fix format

* fix format

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

* loglikelihood refactor using template lm

* linter

* fix whitespace in target + prompt for CoT gsm8k (#1275)

* Make `parallelize=True` vs. `accelerate launch` distinction clearer in docs (#1261)

* Make parallelize=True distinction clearer in documentation.

* run linter

* Allow parameter edits for registered tasks when listed in a benchmark (#1273)

* benchmark yamls allow minor edits of already registered tasks

* add documentation

* removed print

* Fix data-parallel evaluation with quantized models (#1270)

* add WIP device_map overrides

* update handling outside of accelerate launcher

* change .to(device) log to debug level

* run linter

* Rework documentation for explaining local dataset (#1284)

* rewor documentation for explaining local dataset

* fix typo

* Update new_task_guide.md

* Re-add citation

It looks like Google Scholar has [already noticed](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C9&authuser=2&q=%22A+framework+for+few-shot+language+model+evaluation%2C+12+2023%22&btnG=

) the updated citation block so let's add it back in.

* Update CITATION.bib (#1285)

Bumping CITATION.bib to match re-adding the citation in readme. 

cc @StellaAthena

* Update nq_open.yaml (#1289)

* Update README.md with custom integration doc (#1298)

* Update README.md

* punctuation

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

* Update nq_open.yaml (#1305)

* Update nq_open.yaml

change regex

* Bump NQ version

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

* Update task_guide.md (#1306)

* Update pyproject.toml (#1312)

* Fix polemo2_in.yaml config name (#1313)

* Update pyproject.toml (#1314)

* Fix group register (#1315)

* tuple should be considered as well

* set option to keep callable as callable

* Update task_guide.md (#1316)

* Update polemo2_in.yaml (#1318)

* don't pass extra kwargs to mamba any more (#1328)

* Fix Issue regarding stderr (#1327)

* add fix fordeciding if stderr is N/A or not

* process N/A

* Add `local-completions` support using OpenAI interface (#1277)

* 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>

* fallback to classname when LM doesnt have config (#1334)

* fix a trailing whitespace that breaks a lint job (#1335)

* skip "benchmarks" in changed_tasks (#1336)

* Update migrated HF dataset paths (#1332)

* Update arc_easy.yaml

* Update flan_cot.yaml

* update HF dataset path

* Update freeform.yaml

* Update flan_cot.yaml

---------
Co-authored-by: Lintang Sutawika <lintang@eleuther.ai>

* Don't use `get_task_dict()` in task registration / initialization (#1331)

* don't use get_task_dict() as a helper, it will download the dataset!

* pre-commit

* Update README.md

---------
Co-authored-by: lintangsutawika <lintang@eleuther.ai>

* manage default (greedy) gen_kwargs in vllm (#1341)

* manage default (greedy) gen_kwargs in vllm better

* mirror HF `do_sample`

* just need to set temp=0 for greedy

* modified default gen_kwargs to work better with CLI; changed prompt_logprobs=1 (#1345)

* update links to task_guide.md (#1348)

* `Filter` docs not offset by `doc_id`  (#1349)

* get `doc` from instance

* acceletate bugfix: get ground doc from instance

* convert filter to `process_result`

* get docs from instances in `FilterEnsemble`

* rename

* nit

* better looping

* fix typehint

* Add FAQ on `lm_eval.tasks.initialize_tasks()` to README (#1330)

* Update README.md

* [!Tip]

* Refix issue regarding stderr (#1357)

* Add causalLM OpenVino models (#1290)

* 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>

* Apply some best practices and guideline recommendations to code (#1363)

* 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



* serialize callable functions in config (#1367)

* delay filter init; remove `*args` (#1369)

* delay filter init; remove `*args`

* bugfix

* optimize

* type hint

* Fix unintuitive `--gen_kwargs` behavior (#1329)

* 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

* Publish to pypi (#1194)

* publish to pypi

* lint

* Update publish.yml

* minor

* Make dependencies compatible with PyPI (#1378)

* make deps not point to github urls

* formatting

* try making PyPI only run on tag pushes

* Add support for RWKV models with World tokenizer (#1374)

* Add support for RWKV models with World tokenizer

The RWKV line of model with the World tokenizer, does not allow the padding token to be configured, and has its value preset as 0

This however fails all the "if set" checks, and would cause the tokenizer to crash.

A tokenizer class name check was added, in addition to a model type check, as there exists RWKV models which uses the neox tokenizers

* Update huggingface.py

Genericized so that this supports any RWKVWorld tokenizer, and added a fall-back for if the HF implementation name changes.

* Comply with formatting guidelines

* fix format

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

* add bypass metric (#1156)

* add bypass metric

* fixed `bypass` metric.

* add task attributes if predict_only

* add `predict_only` checks

* add docs

* added `overide_metric`, `override_config` to `Task`

* nits

* nit

* changed --predict_only to generations; nits

* nits

* nits

* change gen_kwargs warning

* add note about `--predict_only` in README.md

* added `predict_only`

* move table to bottom

* nit

* change null aggregation to bypass (conflict)

* bugfix; default `temp=0.0`

* typo

* loglikelihood refactor using template lm

* lint

* code review

* neuron optimum

* Mention TemplateLM in model_guide.md

* Update lm_eval/api/model.py

* fix linter

* fix format

* fix format

* fix format

---------
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>
Co-authored-by: Lintang Sutawika <lintang@eleuther.ai>
Co-authored-by: Stella Biderman <stellabiderman@gmail.com>
Co-authored-by: Mark Saroufim <marksaroufim@meta.com>
Co-authored-by: Hannibal046 <38466901+Hannibal046@users.noreply.github.com>
Co-authored-by: Danielle Pintz <38207072+daniellepintz@users.noreply.github.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: kwrobel.eth <djstrong@gmail.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
Co-authored-by: Brian Vaughan <nairbv@users.noreply.github.com>
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: thnkinbtfly <70014488+thnkinbtfly@users.noreply.github.com>
Co-authored-by: NoushNabi <33136068+NoushNabi@users.noreply.github.com>
Co-authored-by: haileyschoelkopf <hailey@eleuther.ai>
Co-authored-by: LSinev <LSinev@users.noreply.github.com>
Co-authored-by: Eugene Cheah <PicoCreator@users.noreply.github.com>

* 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>

* 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

* 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

* fixed syntactic nits

* fix temperature and seed

* fix logprobs

* fixup merge

* enabling OpenAI completions via gooseai

* openai-completions and pin openai

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