GitLab

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

* Fix remaining quant tests

* Update test_quanto.py

* clean-up

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

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

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

* fixup

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

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

* more suggestions

* mapping if torch available

* run tests & add 'support_quantized' flag

* fix jamba test

* revert, will be fixed by another PR

* codestyle

* HQQ and versatile cache classes

* final update

* typo

* make tests happy

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

2.3
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Adds support for loading GGUF files
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>

* add q2_k q3_k q5_k support from @99991

* fix tests

* Update doc

* Style

* Docs

* fix CI

* Update docs/source/en/gguf.md

* Update docs/source/en/gguf.md

* Compute merges

* change logic

* add comment for clarity

* add comment for clarity

* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change logic

* Update src/transformers/modeling_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/modeling_gguf_pytorch_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* put back comment

* add comment about mistral

* comments and added tests

* fix unconsistent type

* more

* fix tokenizer

* Update src/transformers/modeling_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* address comments about tests and tokenizer + add added_tokens

* from_gguf -> gguf_file

* replace on docs too

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Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Update Dockerfile

* fix

* update

* update

* fix

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

* fix dinat in docker

* update

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

* update

* update

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

* Use torch 2.2 for daily CI (model tests)

* update

* update

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

* aqlm init

* calibration and dtypes

* docs

* Readme update

* is_aqlm_available

* Simpler link in docs

* Test TODO real reference

* init _import_structure fix

* AqlmConfig autodoc

* integration aqlm

* integrations in tests

* docstring fix

* legacy typing

* Less typings

* More kernels information

* Performance -> Accuracy

* correct tests

* remoced multi-gpu test

* Update docs/source/en/quantization.md
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* Brought back multi-gpu tests

* Update src/transformers/integrations/aqlm.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/aqlm_integration/test_aqlm.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

---------
Co-authored-by: Andrei Panferov <blacksamorez@yandex-team.ru>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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

* [SDPA] Make sure attn mask creation is always done on CPU

* Update docker to 2.1.1

* revert test change

* v1

* add docstring

* add tests

* add awq 0.1.8

* oops

* fix test

* v1 fusing modules

* add fused mlp support

* up

* fix CI

* block save_pretrained

* fixup

* small fix

* add new condition

* add v1 docs

* add some comments

* style

* fix nit

* adapt from suggestion

* add check

* change arg names

* change variables name

* Update src/transformers/integrations/awq.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* style

* split up into 3 different private methods

* more conditions

* more checks

* add fused tests for custom models

* fix

* fix tests

* final update docs

* final fixes

* fix importlib metadata

* Update src/transformers/utils/quantization_config.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change it to `do_fuse`

* nit

* Update src/transformers/utils/quantization_config.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* few fixes

* revert

* fix test

* fix copies

* raise error if model is not quantized

* add test

* use quantization_config.config when fusing

* Update src/transformers/modeling_utils.py

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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

* Update Dockerfile

* Update docker/transformers-all-latest-gpu/Dockerfile

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

* working v1

* oops

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* fixup

* oops

* push

* more changes

* add docs

* some fixes

* fix copies

* add v1 doc

* added installation guide

* relax constraints

* revert

* attempt llm-awq

* oops

* oops

* fixup

* raise error when incorrect cuda compute capability

* nit

* add instructions for llm-awq

* fixup

* fix copies

* fixup and docs

* change

* few changes + add demo

* add v1 tests

* add autoawq in dockerfile

* finalize

* Update tests/quantization/autoawq/test_awq.py

* fix test

* fix

* fix issue

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

* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

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

* add link to example script

* Update docs/source/en/main_classes/quantization.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* add more content

* add more details

* add link to quantization docs

* camel case + change backend class name

* change to string

* fixup

* raise errors if libs not installed

* change to `bits` and `group_size`

* nit

* nit

* Apply suggestions from code review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* disable training

* address some comments and fix nits

* fix

* final nits and fix tests

* adapt to our new runners

* make fix-copies

* Update src/transformers/utils/quantization_config.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/integrations/awq.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/integrations/awq.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* move to top

* add conversion test

* final nit

* add more elaborated test

---------
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Update docker files to use torch 2.1
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add correct installation of GPTQ library

* update tests values

* a draft version

* v2 integration

* fix

* make it more generic and works for IA3

* add set adapter and multiple adapters support

* fixup

* adapt a bit

* oops

* oops

* oops

* adapt more

* fix

* add more refactor

* now works with model class

* change it to instance method as it causes issues with `jit`.

* add CR

* change method name

* add `add_adapter` method

* clean up

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add moe utils

* fixup

* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adapt

* oops

* fixup

* add is_peft_available

* remove `requires_backend`

* trainer compatibility

* fixup + docstring

* more details

* trigger CI

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

* Update src/transformers/modeling_utils.py

* fixup + is_main_process

* added `save_peft_format` in save_pretrained

* up

* fix nits here and there

* nits here and there.

* docs

* revert `encoding="utf-8"`

* comment

* added slow tests before the PEFT release.

* fixup and nits

* let's be on the safe zone

* added more comments

* v1 docs

* add remaining docs

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* move to `lib_integrations`

* fixup

* this time fixup

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

* address final comments

* refactor to use `token`

* add PEFT to DockerFile for slow tests.

* added pipeline support.

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* fix failing 8bit test

* trigger CI

* 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>

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

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

Revert "Unpin protobuf in docker file (for daily CI) (#24761)"

This reverts commit 45025d92.

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

* fix

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

* fix

* fix

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

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

* unpin tf prob

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

* pong TF prob

* fix

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

* fix mess

* better documentation

* typo

* fix doc

* update

* add test

* fix test

* more tests

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

* move to utils

* Apply suggestions from code review
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* nit

---------
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>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* update docker files to use official torch 2.0.0

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

Revert "Use `dash==2.8.1` for now for daily CI (#22227)"

This reverts commit 53218671.

Use dash 2.8.1 for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

* Use PyAV instead of Decord

* Get frame indices

* Fix number of frames

* Update src/transformers/models/videomae/image_processing_videomae.py

* Fix up

* Fix copies

* Update timesformer doctests

* Update docstrings