GitLab

* fix fsdp load

* Update trainer.py

* remove saving duplicate state_dict

* [trainer] fallback for deepspeed param count

* [trainer] more readable numel count

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

Change logic

add GC support for RWKV

Bump aiohttp in /examples/research_projects/decision_transformer

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.8.1 to 3.8.5.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/v3.8.5/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.8.1...v3.8.5

)

---
updated-dependencies:
- dependency-name: aiohttp
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* testing

* example script

* fix typehinting

* some tests

* make test

* optional update

* Union of arguments

* does this fix the issue

* remove reports

* set default to False

* documentation change

* None support

* does not need None

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments" (#24574)

Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)"

This reverts commit c5e29d43

.

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* merge

* hacky fix

* fixup

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Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make docs

* fixup

* resolved

* remove debugs

* Revert "fixup"

This reverts commit 5e0f636aae0bf8707bc8bdaa6a9427fbf66834ed.

* prev (ignore)

* fixup broke some files

* remove files

* reverting modeling_reformer

* lang fix

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Fixing small typo: kwrags -> kwargs

Bump pygments in /examples/research_projects/decision_transformer

Bumps [pygments](https://github.com/pygments/pygments) from 2.11.2 to 2.15.0.
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](https://github.com/pygments/pygments/compare/2.11.2...2.15.0

)

---
updated-dependencies:
- dependency-name: pygments
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* replace no_cuda with use_cpu in test_pytorch_examples

* remove codes that never be used

* fix style

* Resolve typo in check_repo.py

* Specify encoding when opening modeling files

* Deprecate the OpenLlama architecture

* Add disclaimer pointing to Llama

I'm open to different wordings here

* Match the capitalisation of LLaMA

* Add text classification example

* set the problem type and finetuning task

* ruff reformated

* fix bug for unseting label_to_id for regression

* update README.md

* fixed finetuning task

* update comment

* check if label exists in feature before removing

* add useful logging

* docs: ko: `document_question_answering.md`

* fix: resolve suggestions
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

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Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

[doc] image_processing_vilt.py wrong default

* add possibility to disable TP

* fixup

* adapt from offline discussions

Update llama2.md

 Fix typos in the llama2 model doc

fix typo in BARK_PRETRAINED_MODEL_ARCHIVE_LIST

suno/barh should be suno/bark

- This results in cpu mode on Apple Silicon mps

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update supported Python and PyTorch versions in readme

* Update Python, etc. versions in non-English readmes

These were more out of date than in the English readme. This
updates all the versions the readmes claim the repository is tested
with to the same versions stated in the English readme.

Those versions are current at least in the case of the Python and
PyTorch versions (and less out of date for the others).

* Propagate trailing whitespace fix to model list

This runs "make fix-copies". The only change is the removal of
whitespace. No actual information or wording is changed.

* Update tested TensorFlow to 2.6 in all readmes

Per pinning in setup.py

Unlike Python and PyTorch, the minimum supported TensorFlow version
has not very recently changed, but old versions were listed in all
READMEs.

* fix

* fix

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Check for use-cpu

Disable ipex if in use

* add llama

* add other readmes

* update padding id in readme

* add link to paper

* fix paths and tokenizer

* more nits

* styling

* fit operation in 2 lines when possible

* nits

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add form

* update reademe

* update readme, we don't have a default pad token

* update test and tokenization

* LLaMA instead of Llama

* nits

* add expected text

* add greeedy output

* styling

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* sequential device map

* skip relevant changes

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* check if eval dataset is dict

* formatting

* fix blip output name

* add property

* oops

* fix failing test

* fix dtype issue

* revert `.float()`

* fix copies

* First draft

* More improvements

* Convert patch embedding layer

* Convert all weights

* Make conversion work

* Improve conversion script

* Fix style

* Make all tests pass

* Add image processor to auto mapping

* Add swiglu ffn

* Add image processor to conversion script

* Fix conversion of giant model

* Fix documentation

* Fix style

* Fix tests

* Address comments

* Address more comments

* Remove unused arguments

* Remove more arguments

* Rename parameters

* Include mask token

* Address comments

* Add docstring

* Transfer checkpoints

* Empty commit

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add Ascend NPU accelerator support

* fix style warining

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* clarify 4bit docs

* Apply suggestions from code review
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

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Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* deprecate no_cuda

* style

* remove doc

* remove doc 2

* fix style