GitLab

* fix bnb test

* link to GH issue

* First step

* fix

* add adjustements for gptq

* change to `_pre_quantization_dtype`

* Update src/transformers/modeling_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix serialization

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixup

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix issues with PEFT

* logger warning futurewarning issues

* fixup

* adapt from suggestions

* oops

* rm test

* fix bnb test with code revision

* fix test

* Apply suggestions from code review

* Update src/transformers/models/auto/auto_factory.py

* Update src/transformers/models/auto/auto_factory.py

* Update src/transformers/models/auto/auto_factory.py

* move deepspeed to `lib_integrations.deepspeed`

* more refactor

* oops

* fix slow tests

* Fix docs

* fix docs

* addess feedback

* address feedback

* final modifs for PEFT

* fixup

* ok now

* trigger CI

* trigger CI again

* Update docs/source/en/main_classes/deepspeed.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* import from `integrations`

* address feedback

* revert removal of `deepspeed` module

* revert removal of `deepspeed` module

* fix conflicts

* ooops

* oops

* add deprecation warning

* place it on the top

* put `FutureWarning`

* fix conflicts with not_doctested.txt

* add back `bitsandbytes` module with a depr warning

* fix

* fix

* fixup

* oops

* fix doctests

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

* GTPQ integration

* Add tests for gptq

* support for more quantization model

* fix style

* typo

* fix method

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

* add dataclass and fix quantization_method

* fix doc

* Update tests/quantization/gptq/test_gptq.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* modify dataclass

* add gtpqconfig import

* fix typo

* fix tests

* remove dataset as req arg

* remove tokenizer import

* add offload cpu quantization test

* fix check dataset

* modify dockerfile

* protect trainer

* style

* test for config

* add more log

* overwrite torch_dtype

* draft doc

* modify quantization_config docstring

* fix class name in docstring

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* more warning

* fix 8bit kwargs tests

* peft compatibility

* remove var

* fix is_gptq_quantized

* remove is_gptq_quantized

* fix wrap

* Update src/transformers/modeling_utils.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add exllama

* skip test

* overwrite float16

* style

* fix skip test

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

* fix docsting formatting

* add doc

* better test

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add test for `get_keys_to_not_convert`

* add minimum patch to keep mpt lm_head from 8bit quantization

* add reivsion to

add gpt2-xl test

* fix

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

* Add bitsandbytes support for gpt2 models

* Guard Conv1D import to pass tensorflow test

* Appease ruff linter

* Fix 4bit test and remove int8 test boilerplate

* Update tests/bnb/test_mixed_int8.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

fix bitsandbytes import issue

* fix bnb config json serialization

* forward contrib credits from discussions

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

* fix skip modules test

* oops

* address comments

* Modify device map behavior for 4/8 bits model

* Remove device_map arg for training 4/8 bit model

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

* Add Exceptions

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

* Fix formatting

* Get current device with accelerate

* Revert "Get current device with accelerate"

This reverts commit 46f00799103bbe15bd58762ba029aab35363c4f7.

* Fix Exception

* Modify quantization doc

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

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

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added fix for fp32 layer norms and bf16 compute in LLaMA.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Fixing issues for PR #23479.

* Added fix for fp32 layer norms and bf16 compute in LLaMA.

* Reverted variable name change.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Added missing tests.

* Fixup changes.

* Added fixup changes.

* Missed some variables to rename.

* revert trainer tests

* revert test trainer

* another revert

* fix tests and safety checkers

* protect import

* simplify a bit

* Update src/transformers/trainer.py

* few fixes

* add warning

* replace with `load_in_kbit = load_in_4bit or load_in_8bit`

* fix test

* fix tests

* this time fix tests

* safety checker

* add docs

* revert torch_dtype

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

* multiple fixes

* update docs

* version checks and multiple fixes

* replace `is_loaded_in_kbit`

* replace `load_in_kbit`

* change methods names

* better checks

* oops

* oops

* address final comments

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix logger bug

* Update tests/mixed_int8/test_mixed_int8.py
Co-authored-by: Zachary Mueller <muellerzr@gmail.com>

* import `PartialState`

---------
Co-authored-by: Zachary Mueller <muellerzr@gmail.com>

* make serialization of int8 models possible

* make fixup

* add docs

* add ability to push to hub and save pretrained

* fixes

* more addition

* more tests

* fix issues

* change variable

* clearer message

* adapt from suggestions

* few fixes

* remove unused function

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

* address last comments

* last warning

* clarify doc

* protect import

* Update src/transformers/modeling_utils.py

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

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

* fix bnb failing test

* fix

* fix

* fixup

* fix `bnb` decoders bug

* make fixup

* v1 `BitsandbytesConfig`

- add v1
- add tests
- more user-friendly API
- add docs

* change to `BitsAndBytesConfig`

* replace logic

* changes

* make fixup

* quality

* make fixup

* fix doc

* fix test

* update toctree

* fix slow test

* add tips

* add warning

* change title

* oops

* Update docs/source/en/main_classes/quantization.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* remove unused file

* adapt suggestion

- add also tests
- change logic

* update docs

* adapt suggestions

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

* fix bnb slow test

* make fixup

* force `memory_efficient_backward=True`

* enhancements

- trainer support
- add new flag

* some changes

- internal changes in `Trainer`
- small refactor

* make quality

* Fixes

- add new testing util
- add new test
- change test in Trainer

* fix CI test

* educate users on how to ft 8bit models

* more checks

* fix `logger` error

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

* adapt from review

* fix

* add comment

* use return instead

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

* attempts to fix:

- upcast input for `T5DenseActDense`
- add the condition `self.wo.weight.dtype != torch.int8`
- added tests on `test/mixed_int8`
- `make fixup`

* fix ci test

* add `keep_in_fp32_modules` support

* pass it as class attribute

* few modifs

- make tests `slow`
- fix logic

* better logic

* fix failing test

* `bfloat16` support

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

* fix

* simplify tests

* simplify tests

* fix test

* modify message

* more checks

* fix failing tests

* add more conditions

- add `is_accelerate_available`
- fixes pipleine tests that failed

* add suggestions

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

* fix failing `bnb` test

* add last safety checker
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* `bnb` ValueError when tries to cast or assign

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

* remove docstrings

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

- simplifies the devce checking test

* add warning on 8-bit models

- added tests
- added wrapper

* move to a private attribute

- remove wrapper
- changed `save_pretrained` method

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

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

* Supporting seq2seq models for `bitsandbytes` integration

- `bitsandbytes` integration supports now seq2seq models
- check if a model has tied weights as an additional check

* small modification

- tie the weights before looking at tied weights!

* first commit

* correct replace function

* add final changes

- works like charm!
- cannot implement tests yet
- tested

* clean up a bit

* add bitsandbytes dependencies

* working version

- added import function
- added bitsandbytes utils file

* small fix

* small fix

- fix import issue

* fix import issues

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

* refactor a bit

- move bitsandbytes utils to utils
- change comments on functions

* reformat docstring

- reformat docstring on init_empty_weights_8bit

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

* revert bad formatting

* change to bitsandbytes

* refactor a bit

- remove init8bit since it is useless

* more refactoring

- fixed init empty weights issue
- added threshold param

* small hack to make it work

* Update src/transformers/modeling_utils.py

* Update src/transformers/modeling_utils.py

* revmoe the small hack

* modify utils file

* make style + refactor a bit

* create correctly device map

* add correct dtype for device map creation

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

* apply suggestions

- remove with torch.grad
- do not rely on Python bool magic!

* add docstring

 - add docstring for new kwargs

* add docstring

- comment `replace_8bit_linear` function
- fix weird formatting

* - added more documentation
- added new utility function for memory footprint tracking
- colab demo to add

* few modifs

- typo doc
- force cast into float16 when load_in_8bit is enabled

* added colab link

* add test architecture + docstring a bit

* refactor a bit testing class

* make style + refactor a bit

* enhance checks

- add more checks
- start writing saving test

* clean up a bit

* male style

* add more details on doc

* add more tests

- still needs to fix 2 tests

* replace by "or"

- could not fix it from GitHub GUI
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refactor a bit testing code + add readme

* make style

* fix import issue

* Update src/transformers/modeling_utils.py
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* add few comments

* add more doctring + make style

* more docstring

* raise error when loaded in 8bit

* make style

* add warning if loaded on CPU

* add small sanity check

* fix small comment

* add bitsandbytes on dockerfile

* Improve documentation

- improve documentation from comments

* add few comments

* slow tests pass on the VM but not on the CI VM

* Fix merge conflict

* make style

* another test should pass on a multi gpu setup

* fix bad import in testing file

* Fix slow tests

- remove dummy batches
- no more CUDA illegal memory errors

* odify dockerfile

* Update docs/source/en/main_classes/model.mdx

* Update Dockerfile

* Update model.mdx

* Update Dockerfile

* Apply suggestions from code review

* few modifications

- lm head can stay on disk/cpu
- change model name so that test pass

* change test value

- change test value to the correct output
- torch bmm changed to baddmm in bloom modeling when merging

* modify installation guidelines

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

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

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

* replace `n`by `name`

* merge `load_in_8bit` and `low_cpu_mem_usage`

* first try - keep the lm head in full precision

* better check

- check the attribute `base_model_prefix` instead of computing the number of parameters

* added more tests

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

* Merge branch 'integration-8bit' of https://github.com/younesbelkada/transformers

 into integration-8bit

* improve documentation

- fix typos for installation
- change title in the documentation
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>