Commit Graph

54 Commits

Author SHA1 Message Date
Isotr0py
e4628434d8
Add Qwen2 GGUF loading support (#31175)
* add qwen2 gguf support

* Update docs

* fix qwen2 tokenizer

* add qwen2 gguf test

* fix typo in qwen2 gguf test

* format code

* Remove mistral, clarify the error message

* format code

* add typing and update docstring
2024-06-03 14:55:10 +01:00
Marc Sun
48cada87c3
Fix quantized cache output (#31143) 2024-05-31 12:08:55 +02:00
Younes Belkada
5e5c4d629d
FIX / Quantization: Add extra validation for bnb config (#31135)
add validation for bnb config
2024-05-30 11:45:03 +02:00
Marc Sun
b84cd67526
Fix quanto tests (#31062)
fix quanto tests
2024-05-27 15:53:45 +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
Marc Sun
ae87f9797b
FIX / TST: Fix expected results on Mistral AWQ test (#30971)
fix awq mistral test
2024-05-24 14:06:31 +02:00
Raushan Turganbay
d583f1317b
Quantized KV Cache (#30483)
* 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>
2024-05-23 17:25:20 +05:00
Younes Belkada
3f435823e0
FEAT / Bitsandbytes: Add dequantize API for bitsandbytes quantized models (#30806)
* add  method

* change method name

* more comments

* Apply suggestions from code review

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

* fixup

* add docstrings and fix comment

* warn users on the de-quantized dtype

* Update src/transformers/quantizers/base.py

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

* Update src/transformers/integrations/bitsandbytes.py

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

* final suggestion - use private method

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-15 17:17:09 +02:00
Lysandre Debut
a42844955f
Loading GGUF files support (#30391)
* 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

---------

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>
2024-05-15 14:28:20 +02:00
Marc Sun
de6e0db184
[awq] replace scale when we have GELU (#30074)
* fix awq test

* style

* add log

* new fix

* style

* only modifying impacted model in the end

* rename function
2024-05-13 11:41:03 +02:00
Younes Belkada
9c772ac888
Quantization / HQQ: Fix HQQ tests on our runner (#30668)
Update test_hqq.py
2024-05-06 11:33:52 +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
Joao Gante
75bbfd5b22
Cache: Static cache as a standalone object (#30476) 2024-04-30 16:37:19 +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
Younes Belkada
080b700805
FIX / AWQ: Fix failing exllama test (#30288)
fix filing exllama test
2024-04-17 11:26:35 +02:00
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
4207a4076d
[bnb] Fix offload test (#30039)
fix bnb test
2024-04-05 13:11:28 +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
Andrei Panferov
e3fc90ae68
Cleaner Cache dtype and device extraction for CUDA graph generation for quantizers compatibility (#29079)
* input_layernorm as the beacon of hope

* cleaner dtype extraction

* AQLM + CUDA graph test

* is available check

* shorter text test
2024-02-27 09:32:39 +01:00
Younes Belkada
ff76e7c212
FIX [bnb / tests] Propagate the changes from #29092 to 4-bit tests (#29122)
* forgot to push the changes for 4bit ..

* trigger CI
2024-02-20 11:11:15 +01:00
Titus
5ce90f3212
Bnb test fix for different hardwares (#29066)
* generated text on A10G

* generated text in CI

* Apply suggestions from code review

add explanatory comments

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

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-02-19 18:04:44 +00:00
Younes Belkada
a75a6c9315
FIX [bnb / tests]: Fix currently failing bnb tests (#29092)
Update test_mixed_int8.py
2024-02-19 10:39:12 +01:00
Lysandre Debut
f497f564bb
Update all references to canonical models (#29001)
* Script & Manual edition

* Update
2024-02-16 08:16:58 +01:00
Andrei Panferov
1ecf5f7c98
AQLM quantizer support (#28928)
* 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>
2024-02-14 09:25:41 +01:00
Klaus Hipp
fe3df9d5b3
[Docs] Add language identifiers to fenced code blocks (#28955)
Add language identifiers to code blocks
2024-02-12 10:48:31 -08:00
Poedator
d78e78a0e4
HfQuantizer class for quantization-related stuff in modeling_utils.py (#26610)
* squashed earlier commits for easier rebase

* rm rebase leftovers

* 4bit save enabled @quantizers

* TMP gptq test use exllama

* fix AwqConfigTest::test_wrong_backend for A100

* quantizers AWQ fixes

* _load_pretrained_model low_cpu_mem_usage branch

* quantizers style

* remove require_low_cpu_mem_usage attr

* rm dtype arg from process_model_before_weight_loading

* rm config_origin from Q-config

* rm inspect from q_config

* fixed docstrings in QuantizationConfigParser

* logger.warning fix

* mv is_loaded_in_4(8)bit to BnbHFQuantizer

* is_accelerate_available error msg fix in quantizer

* split is_model_trainable in bnb quantizer class

* rm llm_int8_skip_modules as separate var in Q

* Q rm todo

* fwd ref to HFQuantizer in type hint

* rm note re optimum.gptq.GPTQQuantizer

* quantization_config in __init__ simplified

* replaced NonImplemented with  create_quantized_param

* rm load_in_4/8_bit deprecation warning

* QuantizationConfigParser refactoring

* awq-related minor changes

* awq-related changes

* awq config.modules_to_not_convert

* raise error if no q-method in q-config in args

* minor cleanup

* awq quantizer docstring

* combine common parts in bnb process_model_before_weight_loading

* revert test_gptq

* .process_model_ cleanup

* restore dict config warning

* removed typevars in quantizers.py

* cleanup post-rebase 16 jan

* QuantizationConfigParser classmethod refactor

* rework of handling of unexpected aux elements of bnb weights

* moved q-related stuff from save_pretrained to quantizers

* refactor v1

* more changes

* fix some tests

* remove it from main init

* ooops

* Apply suggestions from code review

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

* fix awq issues

* fix

* fix

* fix

* fix

* fix

* fix

* add docs

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Apply suggestions from code review

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

* Update docs/source/en/hf_quantizer.md

* address comments

* fix

* fixup

* Update src/transformers/modeling_utils.py

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

* Update src/transformers/modeling_utils.py

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

* address final comment

* update

* Update src/transformers/quantizers/base.py

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

* Update src/transformers/quantizers/auto.py

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

* fix

* add kwargs update

* fixup

* add `optimum_quantizer` attribute

* oops

* rm unneeded file

* fix doctests

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-01-30 02:48:25 +01:00
Omar Sanseviero
a989c6c6eb
Don't allow passing load_in_8bit and load_in_4bit at the same time (#28266)
* Update quantization_config.py

* Style

* Protect from setting directly

* add tests

* Update tests/quantization/bnb/test_4bit.py

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

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-01-30 01:43:40 +01:00
Marc Sun
7c8dd88d13
[GPTQ] Fix test (#28018)
* fix test

* reduce length

* smaller model
2024-01-15 11:22:54 -05:00
Younes Belkada
266c67b06a
[Mixtral / Awq] Add mixtral fused modules for Awq (#28240)
* add mixtral fused modules

* add changes from modeling utils

* add test

* fix test + rope theta issue

* Update src/transformers/modeling_utils.py

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

* add tests

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-01-12 14:29:35 +01:00
Younes Belkada
07bdbebb48
[Awq] Add llava fused modules support (#28239)
* add llava + fused modules

* Update src/transformers/models/llava/modeling_llava.py

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

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2024-01-12 06:55:54 +01:00
Younes Belkada
fa21ead73d
[Awq] Enable the possibility to skip quantization for some target modules (#27950)
* v1

* add docstring

* add tests

* add awq 0.1.8

* oops

* fix test
2023-12-25 11:06:56 +01:00
Poedator
4f7806ef7e
[bnb] Let's make serialization of 4bit models possible (#26037)
* updated bitsandbytes.py

* rm test_raise_* from test_4bit.py

* add test_4bit_serialization.py

* modeling_utils bulk edits

* bnb_ver 0.41.3 in integrations/bitsandbytes.py

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

* @slow reinstated

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

* bnb ver 0.41.3 in  src/transformers/modeling_utils.py

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

* rm bnb version todo in  integrations/bitsandbytes.py

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

* moved 4b serialization tests to test_4bit

* tests upd for opt

* to torch_device

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

* ruff fixes to tests

* rm redundant bnb version check in mod_utils

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

* restore _hf_peft_config_loaded  modeling_utils.py::2188

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

* restore _hf_peft_config_loaded  test in modeling_utils.py::2199

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

* fixed NOT getattr(self, "is_8bit_serializable")

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

* setting model.is_4bit_serializable

* rm separate fp16_statistics arg from set_module...

* rm else branch in integrations::bnb::set_module

* bnb 4bit dtype check

* upd comment on 4bit weights

* upd tests for FP4 safe

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2023-12-21 11:54:44 +01:00
Younes Belkada
fdb85be40f
Faster generation using AWQ + Fused modules (#27411)
* 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>
2023-12-05 12:14:45 +01:00
Younes Belkada
7b139023c3
[AWQ ] Addresses TODO for awq tests (#27467)
addresses todo for awq tests
2023-11-13 18:18:41 +01:00
Younes Belkada
fd685cfd59
[Quantization] Add str to enum conversion for AWQ (#27320)
* add str to enum conversion

* fixup

* Apply suggestions from code review

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

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-11-10 13:45:00 +01:00
Younes Belkada
9b25c164bd
[core / Quantization] Fix for 8bit serialization tests (#27234)
* fix for 8bit serialization

* added regression tests.

* fixup
2023-11-02 12:03:51 +01:00
Marc Sun
c9e72f55b2
Add exllamav2 better (#27111)
* add_ xllamav2 arg

* add test

* style

* add check

* add doc

* replace by use_exllama_v2

* fix tests

* fix doc

* style

* better condition

* fix logic

* add deprecate msg

* deprecate exllama

* remove disable_exllama from the linter

* remove

* fix warning

* Revert the commits deprecating exllama

* deprecate disable_exllama for use_exllama

* fix

* fix loading attribute

* better handling of args

* remove disable_exllama from init and linter

* Apply suggestions from code review

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

* better arg

* fix warning

* Apply suggestions from code review

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

* switch to dict

* Apply suggestions from code review

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

* style

* nits

* style

* better tests

* style

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2023-11-01 13:09:21 -04:00
Younes Belkada
ae093eef01
[core / Quantization ] AWQ integration (#27045)
* 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>
2023-11-01 09:06:31 +01:00
Younes Belkada
4bb50aa212
[Quantization / tests ] Fix bnb MPT test (#27178)
fix bnb mpt test
2023-10-31 16:25:53 +01:00
Younes Belkada
6b466771b0
[tests / Quantization] Fix bnb test (#27145)
* fix bnb test

* link to GH issue
2023-10-30 15:43:08 +01:00
Arthur
90ee9cea19
Revert "add exllamav2 arg" (#27102)
Revert "add exllamav2 arg (#26437)"

This reverts commit 8214d6e7b1.
2023-10-27 11:23:06 +02:00
Marc Sun
8214d6e7b1
add exllamav2 arg (#26437)
* add_ xllamav2 arg

* add test

* style

* add check

* add doc

* replace by use_exllama_v2

* fix tests

* fix doc

* style

* better condition

* fix logic

* add deprecate msg
2023-10-26 10:15:05 -04:00
Younes Belkada
fd6a0ade9b
🚨🚨🚨 [Quantization] Store the original dtype in the config as a private attribute 🚨🚨🚨 (#26761)
* 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>
2023-10-16 19:56:53 +02:00
Heinz-Alexander Fuetterer
883ed4b344
chore: fix typos (#26756) 2023-10-12 18:00:27 +02:00
Younes Belkada
2aef9a9601
[PEFT] Final fixes (#26559)
* fix issues with PEFT

* logger warning futurewarning issues

* fixup

* adapt from suggestions

* oops

* rm test
2023-10-03 14:53:09 +02:00
Younes Belkada
6824461f2a
[core/ auto ] Fix bnb test with code revision + bug with code revision (#26431)
* 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
2023-10-02 11:35:07 +02:00
Younes Belkada
7ccac73f74
[RWKV] Final fix RWMV 4bit (#26134)
* Final fix RWMV 4bit

* fixup

* add a test

* add more clarifications
2023-09-13 16:30:20 +02:00
Younes Belkada
c8b26096d4
[core] fix 4bit num_parameters (#26132)
* fix 4bit `num_parameters`

* stronger check
2023-09-13 14:12:35 +02:00
Marc Sun
fa6107c97e
modify context length for GPTQ + version bump (#25899)
* add new arg for gptq

* add tests

* add min version autogptq

* fix order

* skip test

* fix

* Update src/transformers/modeling_utils.py

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

* fix style

* change model path

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
2023-09-06 11:45:47 -04:00