GitLab

* fix vllm

* fix data_parallel

* copy to multimodal

* Update vllm_vlms.py

* pre-commit

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Co-authored-by: Baber <baber@hey.com>

* update pre-commit

* add assistant prefix

* add arc_challenge from llama

* nit

* nit

* nit

* add assistant prefix

* add mmlu_llama

* nit

* nit

* Revert "nit"

This reverts commit 6a97f8356237305e375212b966b30e8de59dd4bc.

* fix regex bug

* add assistant_prefix to vllm

* add `Question:`

* add mmlu_pro

* add fewshot assistant_prefix

* use `assistant_prefill`

* typehints

* nits

* nits

* add to docs

* add readme

* hf support load gguf file

* code review

* code review

* code clean up

* note about use_fast compat with gguf

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Co-authored-by: Qubitium-ModelCloud <qubitium@modelcloud.ai>

* fix extra_match low if batch_size > 1
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add sorting to logprobs

* nit

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Baber <baber@hey.com>

* add warning for truncation

* batch all rolling token windows

* nit

* copy to vllm

* fix max_length for `get_rolling_token_windows`

* bugfix

* bugfix

* add type hints

* initial support for optimum-intel ipex model. LM model as first step

* format
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* pass dtype
Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* update README
Signed-off-by: Yao, Matrix <matrix.yao@intel.com>

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Signed-off-by: Yao Matrix <matrix.yao@intel.com>

* update import
Signed-off-by: Maanu Grover <maanug@nvidia.com>

* run formatting

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Signed-off-by: Maanu Grover <maanug@nvidia.com>

* left truncate for generate_until

* pre-commit

* Handle pipeline_parallel parameter

* Add description of pipeline parallelism with OV models

* avoid timeout errors with high concurrency in api_model

* style

* add timeout

* add docs

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Co-authored-by: Baber <baber@hey.com>

Update Unitxt task to  use locally installed unitxt and not download Unitxt code from Huggingface (#2514)

* Moved to require unitxt installation and not download unitxt from HF hub.

This has performance benefits and simplifies the code.
Signed-off-by: Yoav Katz <katz@il.ibm.com>

* Updated watsonx documentation

* Updated installation instructions

* Removed redundant comman

* Allowed unitxt tasks to generate chat APIs

Modified WatsonXI model to support chat apis

* Removed print

* Run precommit formatting

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Signed-off-by: Yoav Katz <katz@il.ibm.com>

* make utility function to handle `until`

* fix text

* add hf mamba to mamba_lm

* fix _model_generate for hf

* pre-commit update

* update github actions

* make logging less verbose

* fix artifacts

* refactor code, fix config path bug

* update types to be from typing lib

* add pre-commit formatting

* specify version of ibm_watsonx_ai package

* adjust get_watsonx_credentials() function, add minor refactor to adress PR review comments

* change missing installation hint from ibm_watsonx_ai to lm_eval[ibm_watsonx_ai]

* batch commit

* :Revert "batch commit"

This reverts commit d859d1ca

.

* batch commit

* checkout from main

* checkout from main

* checkout from main

* checkout from main

* checkout from main

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* Chat template fix (#7)

* cleanup

* cleanup

* cleanup

* linting

* fix tests

* add ifeval install to new_task CI

* Revert "add ifeval install to new_task CI"

This reverts commit 1d19449bb7fbfa05d51e7cd20950475eae533bf1.

* adds leaderboard tasks (#1)

* adds leaderboard tasks

* Delete lm_eval/tasks/leaderboard/leaderboard_chat_template.yaml

* add readme

* Delete lm_eval/tasks/leaderboard/mmlu_pro/mmlu_pro_chat_template.yaml

* modify readme

* fix bbh task

* fix bbh salient task

* modify the readme

* Delete lm_eval/tasks/leaderboard/ifeval/README.md

* Delete lm_eval/tasks/leaderboard/math/README.md

* add leaderboard to the tasks repertory

* add anouncment about new leaderbaord tasks

* linting

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

* installs ifeval dependency in new_task github workflow

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Co-authored-by: Nathan Habib <nathan.habib@huggingface.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* fix math parser

* fix math parser

* fix version

* add warning about chat template

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Co-authored-by: Nathan Habib <nathan.habib@huggingface.co>
Co-authored-by: Nathan Habib <30601243+NathanHB@users.noreply.github.com>
Co-authored-by: Nathan Habib <nathan.habib@huggingface.com>
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>
Co-authored-by: Nathan Habib <nathan.habib19@gmail.com>

* switch `max_tokens` for `max_completion_tokens`. OpenAI ChatCompletions

* remove stop, temp=1 for o1

* add chat assertion

* HF_DATASETS_TRUST_REMOTE_CODE = True for task tests

* move warning

* pass device_map other than auto for parallelize

* support gptqmodel

* code opt

* add gptqmodel option

* Update huggingface.py

* Update pyproject.toml

* gptqmodel version upgraded to 1.0.6

* GPTQModel version upgraded to 1.0.8

* Update pyproject.toml

* fix ruff-format error

* add gptqmodel test

* Update gptqmodel test model

* skip cuda

* python3.8 compatible

* Update README.md

* Update README.md

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Co-authored-by: CL-ModelCloud <cl@modelcloud.ai>

* fix: use lora_request for data parallel vllm evals

* fix(docs): include type hint

* chore: lint, et pre-commit al

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Co-authored-by: Chris Kerwell Gresla <chris@wafer.systems>

* Update pyproject.toml with watsonx package extra
Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

* Remove unused function
Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

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Signed-off-by: kiersten-stokes <kierstenstokes@gmail.com>

* add support for IBM watsonx_llm

* add ibm_watsonx_ai package to optional-dependencies

* move global scope imports to inner scope

* change cache to lru_cache

* fix circular import

* use 3.8 typing

* use 3.8 typing

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Co-authored-by: Baber <baber@hey.com>

* Replace generic exception classes with a more specific ones

* rerun pre-commit to pass linter tests

* Revert "rerun pre-commit to pass linter tests"

This reverts commit 67f88ccf144469853217704520e613196042d859.

* reduce repetitions in errors or so

* Replace generic exception class with a more specific one

* max_images are passed on to vllms `limit_mm_per_prompt`

* replace max image placeholders in string

* handle chat_template error

* move `fewshot_random_seed` to global

* switch conditional checks to `self.backend`

* nit

* nit

* commit feedback

* fix test; update precommit hooks

* add escape hatch for custom self.AUTO_MODEL_CLASS

* add escape hatch for custom self.AUTO_MODEL_CLASS

* fix

* move assertion

* add logging messages

* update AUTO_MODEL_CLASS behavior in _get_backend

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

* tokenizer: trust-remote-code

* pre-commit

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

* better error message; fix greedy matching

* Update lm_eval/models/openai_completions.py
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>

* pre-commit

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

* feat(neuron): align with latest optimum-neuron

* feat(neuron): support pre-exported neuron models

* fix(neuron): correctly use max_length

* fix(neuron): adapt loglikelihood

The evaluation of log likelihood was not working for neuron models
using continuous batching, such as all cached neuron LLama models.

* refactor(neuron): remove dead code