riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-13 17:48:22 +06:00
Code Issues Actions 14 Packages Projects Releases Wiki Activity
17,807 Commits 864 Branches 226 Tags 1.9 GiB
10e8cd0d63
Commit Graph

18 Commits

Author SHA1 Message Date
Andrei Panferov
64c05eecd6
HIGGS Quantization Support (#34997) 
* higgs init

* working with crunches

* per-model workspaces

* style

* style 2

* tests and style

* higgs tests passing

* protecting torch import

* removed torch.Tensor type annotations

* torch.nn.Module inheritance fix maybe

* hide inputs inside quantizer calls

* style structure something

* Update src/transformers/quantizers/quantizer_higgs.py

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

* reworked num_sms

* Update src/transformers/integrations/higgs.py

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

* revamped device checks

* docstring upd

* Update src/transformers/quantizers/quantizer_higgs.py

Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>

* edited tests and device map assertions

* minor edits

* updated flute cuda version in docker

* Added p=1 and 2,3bit HIGGS

* flute version check update

* incorporated `modules_to_not_convert`

* less hardcoding

* Fixed comment

* Added docs

* Fixed gemma support

* example in docs

* fixed torch_dtype for HIGGS

* Update docs/source/en/quantization/higgs.md

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

* Collection link

* dequantize interface

* newer flute version, torch.compile support

* unittest message fix

* docs update compile

* isort

* ValueError instead of assert

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>
 2024-12-23 16:54:49 +01:00
wejoncy
4e27a4009d
FEAT : Adding VPTQ quantization method to HFQuantizer (#34770) 
* init vptq

* add integration

* add vptq support

fix readme

* add tests && format

* format

* address comments

* format

* format

* address comments

* format

* address comments

* remove debug code

* Revert "remove debug code"

This reverts commit ed3b3eaaba.

* fix test

---------

Co-authored-by: Yang Wang <wyatuestc@gmail.com>
 2024-12-20 09:45:53 +01:00
Mohamed Mekkouri
f491096f7d
Fix docker CI : install autogptq from source (#35000) 
* Fixed Docker

* Test ci

* Finally

* add comment
 2024-11-28 16:31:36 +01:00
Mohamed Mekkouri
8f48ccf548
Fix : Add PEFT from source to CI docker (#34969) 
* Docker fix peft

* Test new docker

* uncomment
 2024-11-27 14:10:47 +01:00
Mohamed Mekkouri
b76a292bde
Upgrade torch version to 2.5 in dockerfile for quantization CI (#34924) 
* Upgrade Torch 2.5

* uncomment
 2024-11-25 17:38:20 +01:00
Benjamin Bossan
b13916c09d
[AWQ, CI] Bump AWQ version used in docker image (#34922) 
The old AWQ version is failing with the latest (unreleased)
transformers, giving the error:

> ImportError: cannot import name 'shard_checkpoint' from
'transformers.modeling_utils'

This has been resolved in awq v0.2.7:

https://github.com/casper-hansen/AutoAWQ/pull/644
 2024-11-25 16:49:57 +01:00
Yih-Dar
f0e640adfa
Drop support for Python 3.8 (#34314) 
* drop python 3.8

* update docker files

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-10-24 11:16:55 +02:00
Marc Sun
cac4a4876b
[Quantization] Switch to optimum-quanto (#31732) 
* switch to optimum-quanto rebase squach

* fix import check

* again

* test try-except

* style
 2024-10-02 15:14:34 +02:00
Younes Belkada
658b849aeb
Quantization / TST: Fix remaining quantization tests (#31000) 
* Fix remaining quant tests

* Update test_quanto.py
 2024-05-24 14:35:59 +02:00
Younes Belkada
fce78fd0e9
FIX / Quantization: Fix Dockerfile build (#30890) 
* Update Dockerfile

* Update docker/transformers-quantization-latest-gpu/Dockerfile
 2024-05-20 10:08:26 +02:00
Younes Belkada
4e17e7dcf8
TST / Quantization: Reverting to torch==2.2.1 (#30866) 
Reverting to 2.2.1
 2024-05-16 17:30:02 +02:00
Yih-Dar
2d83324ecf
Use torch 2.3 for CI (#30837) 
2.3

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2024-05-15 19:31:52 +02:00
mobicham
59952994c4
Add HQQ quantization support (#29637) 
* update HQQ transformers integration

* push import_utils.py

* add force_hooks check in modeling_utils.py

* fix | with Optional

* force bias as param

* check bias is Tensor

* force forward for multi-gpu

* review fixes pass

* remove torch grad()

* if any key in linear_tags fix

* add cpu/disk check

* isinstance return

* add multigpu test + refactor tests

* clean hqq_utils imports in hqq.py

* clean hqq_utils imports in quantizer_hqq.py

* delete hqq_utils.py

* Delete src/transformers/utils/hqq_utils.py

* ruff init

* remove torch.float16 from __init__ in test

* refactor test

* isinstance -> type in quantizer_hqq.py

* cpu/disk device_map check in quantizer_hqq.py

* remove type(module) nn.linear check in quantizer_hqq.py

* add BaseQuantizeConfig import inside HqqConfig init

* remove hqq import in hqq.py

* remove accelerate import from test_hqq.py

* quant config.py doc update

* add hqqconfig to main_classes doc

* make style

* __init__ fix

* ruff __init__

* skip_modules list

* hqqconfig format fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* test_hqq.py remove mistral comment

* remove self.using_multi_gpu is False

* torch_dtype default val set and logger.info

* hqq.py isinstance fix

* remove torch=None

* torch_device test_hqq

* rename test_hqq

* MODEL_ID in test_hqq

* quantizer_hqq setattr fix

* quantizer_hqq typo fix

* imports quantizer_hqq.py

* isinstance quantizer_hqq

* hqq_layer.bias reformat quantizer_hqq

* Step 2 as comment in quantizer_hqq

* prepare_for_hqq_linear() comment

* keep_in_fp32_modules fix

* HqqHfQuantizer reformat

* quantization.md hqqconfig

* quantization.md model example reformat

* quantization.md # space

* quantization.md space   })

* quantization.md space   })

* quantization_config fix doc

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

* axis value check in quantization_config

* format

* dynamic config explanation

* quant config method in quantization.md

* remove shard-level progress

* .cuda fix modeling_utils

* test_hqq fixes

* make fix-copies

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-05-02 17:51:49 +01:00
zhong zhuang
b4c18a830a
[FEAT]: EETQ quantizer support (#30262) 
* [FEAT]: EETQ quantizer support

* Update quantization.md

* Update docs/source/en/main_classes/quantization.md

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

* Update docs/source/en/quantization.md

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

* Update docs/source/en/quantization.md

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

* Update src/transformers/integrations/__init__.py

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

* Update src/transformers/integrations/__init__.py

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

* Update src/transformers/integrations/eetq.py

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

* Update src/transformers/integrations/eetq.py

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

* Update src/transformers/integrations/eetq.py

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

* Update tests/quantization/eetq_integration/test_eetq.py

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

* Update src/transformers/quantizers/auto.py

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

* Update src/transformers/quantizers/auto.py

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

* Update src/transformers/quantizers/auto.py

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

* Update src/transformers/quantizers/quantizer_eetq.py

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

* Update tests/quantization/eetq_integration/test_eetq.py

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

* Update src/transformers/quantizers/quantizer_eetq.py

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

* Update tests/quantization/eetq_integration/test_eetq.py

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

* Update tests/quantization/eetq_integration/test_eetq.py

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

* [FEAT]: EETQ quantizer support

* [FEAT]: EETQ quantizer support

* remove whitespaces

* update quantization.md

* style

* Update docs/source/en/quantization.md

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

* add copyright

* Update quantization.md

* Update docs/source/en/quantization.md

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

* Update docs/source/en/quantization.md

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

* Address the comments by amyeroberts

* style

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Marc Sun <marc@huggingface.co>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2024-04-22 20:38:58 +01:00
Marc Sun
58a939c6b7
Fix quantization tests (#29914) 
* revert back to torch 2.1.1

* run test

* switch to torch 2.2.1

* udapte dockerfile

* fix awq tests

* fix test

* run quanto tests

* update tests

* split quantization tests

* fix

* fix again

* final fix

* fix report artifact

* build docker again

* Revert "build docker again"

This reverts commit 399a5f9d93.

* debug

* revert

* style

* new notification system

* testing notfication

* rebuild docker

* fix_prev_ci_results

* typo

* remove warning

* fix typo

* fix artifact name

* debug

* issue fixed

* debug again

* fix

* fix time

* test notif with faling test

* typo

* issues again

* final fix ?

* run all quantization tests again

* remove name to clear space

* revert modfiication done on workflow

* fix

* build docker

* build only quant docker

* fix quantization ci

* fix

* fix report

* better quantization_matrix

* add print

* revert to the basic one
 2024-04-09 17:10:29 +02:00
Marc Sun
28de2f4de3
[Quantization] Quanto quantizer (#29023) 
* start integration

* fix

* add and debug tests

* update tests

* make pytorch serialization works

* compatible with device_map and offload

* fix tests

* make style

* add ref

* guard against safetensors

* add float8 and style

* fix is_serializable

* Fix shard_checkpoint compatibility with quanto

* more tests

* docs

* adjust memory

* better

* style

* pass tests

* Update src/transformers/modeling_utils.py

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

* add is_safe_serialization instead

* Update src/transformers/quantizers/quantizer_quanto.py

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

* add QbitsTensor tests

* fix tests

* simplify activation list

* Update docs/source/en/quantization.md

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* better comment

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* find and fix edge case

* Update docs/source/en/quantization.md

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

* pass weights_only_kwarg instead

* fix shard_checkpoint loading

* simplify update_missing_keys

* Update tests/quantization/quanto_integration/test_quanto.py

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

* recursion to get all tensors

* block serialization

* skip serialization tests

* fix

* change by cuda:0 for now

* fix regression

* update device_map

* fix doc

* add noteboon

* update torch_dtype

* update doc

* typo

* typo

* remove comm

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
 2024-03-15 11:51:29 -04:00
Ilyas Moutawwakil
4fc708f98c
Exllama kernels support for AWQ models (#28634) 
* added exllama kernels support for awq models

* doc

* style

* Update src/transformers/modeling_utils.py

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

* refactor

* moved exllama post init to after device dispatching

* bump autoawq version

* added exllama test

* style

* configurable exllama kernels

* copy exllama_config from gptq

* moved exllama version check to post init

* moved to quantization dockerfile

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
 2024-03-05 03:22:48 +01:00
Marc Sun
f54d82cace
[CI] Quantization workflow (#29046) 
* [CI] Quantization workflow

* build dockerfile

* fix dockerfile

* update self-cheduled.yml

* test build dockerfile on push

* fix torch install

* udapte to python 3.10

* update aqlm version

* uncomment build dockerfile

* tests if the scheduler works

* fix docker

* do not trigger on psuh again

* add additional runs

* test again

* all good

* style

* Update .github/workflows/self-scheduled.yml

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

* test build dockerfile with torch 2.2.0

* fix extra

* clean

* revert changes

* Revert "revert changes"

This reverts commit 4cb52b8822.

* revert correct change

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
 2024-02-28 10:09:25 -05:00