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  1. 18 Apr, 2024 1 commit
  3. 17 Apr, 2024 1 commit
    • Shane A's avatar
      Add OLMo model family (#29890) · e4ea19b9
      Shane A authored 
      * Add OLMo using add-new-model-like with Llama

* Fix incorrect tokenizer for OLMo

* Copy-paste relevant OLMo methods and their imports

* Add OLMo config

* Modify OLMo config to follow HF conventions

* Remove unneeded Llama code from OLMo model

* Add ability for OLMo model to output attentions

* Add OLMoPreTrainedModel and OLMoModel

* Add OLMoForCausalLM

* Minor fixes to OLMo model for style and missing functions

* Implement OLMo tokenizer

* Implement OLMo to HF conversion script

* Add tests for OLMo model

* Add tests for OLMo fast tokenizer

* Add auto-generated dummy objects

* Remove unimplemented OLMo classes from auto and init classes and re-format

* Add README and associated auto-generated files

* Use OLMo names for common properties

* Run make fixup

* Remove `|` from OLMo typing

* Remove unneeded tokenization_olmo.py

* Revert model, config and converter to add-new-model-like Llama

* Move logic for adding bos/eos token into GPTNeoxTokenizerFast

* Change OLMoConfig defaults to match OLMo-7B

* Use GPTNeoXToknizerFast in OLMo tokenizer tests

* Modify auto-generated OLMoModelTests to work for OLMo

* Add non-parametric layer norm OLMoLayerNorm

* Update weight conversion script for OLMo

* Fix __init__ and auto structure for OLMo

* Fix errors from make fixup

* Remove OLMoTokenizerFast from documentation

* Add missing 'Copied from' for OLMoModel._update_causal_mask

* Run make fix-copies

* Rearrange string replacements in OLMoForCausalLM Copied from

* Move OLMo and Llama CausalLM.forward example into global constants

* Fix OLMO_GENERATION_EXAMPLE doc string typo

* Add option for qkv clipping to OLMo

* Rearrange OLMoConfig kwargs in convert_olmo_weights_to_hf

* Add clip_qkv to OLMoConfig in convert_olmo_weights_to_hf

* Fix OLMo tokenization bug using conversion script

* Keep model in full precision after conversion

* Do not add eos token automatically

* Update references to OLMo model in HF Hub

* Do not add eos token during encoding by default

* Fix Llama generation example

* Run make fixup

* OLMo 7B integration test fix

* Remove unneeded special case for OLMoConfig

* OLMo 7B Twin 2T integration test fix

* Fix test_model_7b_greedy_generation

* Remove test_compile_static_cache

* Fix OLMo and Llama generation example

* Run make fixup

* Revert "OLMo 7B integration test fix"

This reverts commit 4df56a4b150681bfa559846f40e9b7b7f97d7908.

* Revert "OLMo 7B Twin 2T integration test fix"

This reverts commit 9ff65a4a294ace89ab047b793ca55e623a9ceefc.

* Ungate 7B integration tests and fix greedy generation test

* Add retries for flaky test_eager_matches_sdpa_generate

* Fix output of doc example for OLMoForCausalLM.forward

* Downsize OLMo doc test for OLMoForCausalLM.forward to 1B model

* Try fix incorrect characters in OLMoForCausalLM.forward doct test

* Try fix incorrect characters in OLMoForCausalLM.forward doc test using end quotes

* Remove pretraining_tp from OLMo config and model

* Add missing 'Copied from' instances

* Remove unneeded causal_mask from OLMoModel

* Revert Llama changes

* Ignore copy for OLMoForCausalLM.forward

* Change 'OLMo' to 'Olmo' in classes

* Move minimal OLMo tokenization tests to model tests

* Add missed 'Copied from' for repeat_kv
      e4ea19b9
  5. 15 Apr, 2024 1 commit
    • amyeroberts's avatar
      Add Idefics2 (#30253) · 6b78360e
      amyeroberts authored 
      

* Initial add model additions

* Test

* All weights loading

* Can perform full forward pass

* Local and remote the same

* Matching local and remote

* Fixup

* Idefics2Model importable; fixup docstrings

* Don't skip by default

* Remove deprecated use_resampler arg

* Remove self.config

* DecoupledLinear takes config

* Tidy up

* Enable eager attention and tidy up

* Most tests passing

* Update for batch of processed images

* Add image processor

* Update doc pages

* Update conversion script

* Remove erroneous breakpoint

* Remove accidendtal spelling change

* Update to reflect changes on hub - make generate work

* Fix up

* Image processor tests

* Update tests

* Add a processor

* Add a processor

* Update convert script

* Update modeling file - remove fixmes

* Bug fix

* Add processing test

* Use processor

* Fix up

* Update src/transformers/models/idefics2/modeling_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update src/transformers/models/idefics2/modeling_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Fix test

* Update config - PR comments and defaults align with checkpoint

* Reviewer comments

* Add copied froms for flahs attention

* Update src/transformers/models/idefics2/modeling_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

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

* Remove qk_layer_norm and freeze_layers functionality

* Fix

* Remove freeze_layer options from config

* Sync with upstream main

* Fix attention shapes siglip

* Remove Llava-next refs - TO REBASE

* Use AutoModel for text model

* Add comment to explain vision embeddings

* Fix issue with tie_word_embeddings

* Address review comments

* Fix and fix up

* Chat templates for idefics

* Fix copies

* Fix

* Add layer norms to FA2

* Fix tests

* Apply suggestions from code review
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Fix

* Review comments

* Update src/transformers/models/idefics2/modeling_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update inputs merger

* Merge weights in correct order

* Update convert script

* Update src/transformers/models/idefics2/processing_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update template

* Model code examples (fix idefics too)

* More review comments

* Tidy up

* Update processing

* Fix attention mask preparation

* Update inputs_merger inputs

* Vectorize inputs_merger

* Update src/transformers/models/idefics2/__init__.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/idefics2/modeling_idefics2.py

* Review comments

* saying bye to the `qk_layer_norms`

* Simplify

* Update latents

* Remove erroneuous readme changes

* Return images when applying chat template

* Fix bug - prompt images are for a single sample

* Update src/transformers/models/idefics2/modeling_idefics2.py

* image splitting

* fix test

* some more comment

* some comment

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

* Update src/transformers/models/idefics2/image_processing_idefics2.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update processor

* Update model tests

* Update src/transformers/models/idefics2/processing_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update src/transformers/models/idefics2/processing_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Don't add BOS in template

* Update src/transformers/models/idefics2/processing_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Remove index in examples

* Update tests to reflect #13

* Update src/transformers/models/idefics2/processing_idefics2.py
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* PR comment - consistent typing

* Update readme and model doc

* Update docs

* Update checkpoint references

* Update examples

* Fix and update tests

* Small addition

* Update tests - remove copied from as no ignore placement copy could be found

* Update example

* small fixes

* Update docs/source/en/model_doc/idefics2.md
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update docs/source/en/model_doc/idefics2.md
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Update README.md
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>

* Connector model as bridge

* Fix up

* Fix up

* Don't pass model inputs for generation kwargs update

* IDEFICS-2 -> Idefics2

* Remove config archive name

* IDEFICS-2 -> Idefics2

* Add back llava-next

* Update readmes

* Add requirements for processor tester

* Use custom convert_to_rgb to avoid possible BC

* Fix doc example

* Fix doc example

* Skip model doc tests - as model to large

* More doc example - account for image splitting

* Update src/transformers/image_transforms.py

* Fix config doctest

---------
Co-authored-by: default avatarPablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: default avatarArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: default avatarVictor SANH <victorsanh@gmail.com>
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      6b78360e
  7. 02 Apr, 2024 1 commit
    • Yoach Lacombe's avatar
      Add Flash Attention 2 support to Musicgen and Musicgen Melody (#29939) · 0d04b1e2
      Yoach Lacombe authored 
      * add FA2 to o.g Musicgen

* make style

* add FA2 support to Musicgen Melody

* add generation FA2 tests to o.g Musicgen

* make style and fix copies

* add Musicgen to FA2 docs + deprecate list

* add sdpa supports to Musicgen's

* make style and fix copies

* refactor attention implementation arguments

* add Copied from to sdpa tests

* add copied form in sdpa tests melody

* add copied for FA2 generation tests

* add FA2 inference copied from

* make style
      0d04b1e2
  9. 28 Mar, 2024 1 commit
  11. 27 Mar, 2024 1 commit
    • Bo Zheng's avatar
      Add Qwen2MoE (#29377) · 1c39974a
      Bo Zheng authored 
      

* add support for qwen2 MoE models

* update docs

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix style

* fix test when there are sparse and non sparse layers

* fixup

* Update README.md
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* fixup

* fixup

* add archive back

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fixup

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* fix style

* fix test when there are sparse and non sparse layers

* fixup

* add archive back

* fix integration test

* fixup

---------
Co-authored-by: default avatarbozheng-hit <dsoul0621@gmail.com>
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      1c39974a
  13. 20 Mar, 2024 1 commit
    • NielsRogge's avatar
      Add LLaVa-1.6, bis (#29586) · d91fd7f9
      NielsRogge authored 
      

* First draft

* Fix tests, add docs

* Improve docstrings

* Fix test

* Address comments

* Address comments

* Remove vocab_size attribute

* Remove batch_size

* Address comment

* Add image processor tests

* Support fx

* Update docstring

* Add support for 34b

* Convert 34b model

* Add integration tests

* Update checkpoints

* Convert vicuna-13b, remove doc tests

* Remove script

* Remove file

* Address comments

* Improve docstrings

* Deprecate vocab_size

* Remove aspect_ratio_setting

* Address comments

* Update READMEs

* Add tips about chat templates

* Fix tests

* Deprecate vocab_size safely

* Update tests

---------
Co-authored-by: default avatarAmy Roberts <22614925+amyeroberts@users.noreply.github.com>
      d91fd7f9
  15. 15 Mar, 2024 1 commit
    • Saurabh Dash's avatar
      Cohere Model Release (#29622) · 0e4a1c34
      Saurabh Dash authored 
      

* Cohere Model Release (#1)

Cohere Model Release

* Remove unnecessary files and code (#2)

Some cleanup

* Delete cohere-model directory (#3)

* Make Fix (#5)

* Pr fixes (#6)

* fixes for pr

* pr fixes for the format

* pr fixes for the format

* src/transformers/models/auto/tokenization_auto.py

* Tokenizer test (#8)

* tokenizer test

* format fix

* Adding Docs and other minor changes (#7)

* Add modeling tests (#9)

* Smol Fix (#11)

* tokenization tests are fixed

* format fixes

* fix pr doc tests

* fix pr doc tests

* fix pr doc tests

* fix pr style check

* small changes in cohere.md

* FIX: Address final comments for transformers integration (#13)

* fix modeling final nits and add proper test file

* for now leave empty tests

* add integration test

* push new test

* fix modeling cohere (#14)

* Update chat templates to use the new API (#15)

---------
Co-authored-by: default avatarahmetustun <ahmetustun89@gmail.com>
Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: default avatarMatt <Rocketknight1@users.noreply.github.com>
      0e4a1c34
  17. 13 Mar, 2024 1 commit
  19. 28 Feb, 2024 1 commit
  21. 22 Feb, 2024 1 commit
  23. 21 Feb, 2024 2 commits
  25. 20 Feb, 2024 1 commit
  27. 16 Feb, 2024 1 commit
  29. 14 Feb, 2024 1 commit
    • Jonathan Tow's avatar
      Add `StableLM` (#28810) · de6029a0
      Jonathan Tow authored 
      * Add `StableLM`

* fix(model): re-create from `huggingface-cli add-new-model-like persimmon`

* fix: re-add changes to address comments

* fix(readme): add links to paper

* fix(tokenization_auto): remove `GPTNeoXTokenizerFastFast` ref

* fix(tests): re-add `@slow` decorator to integration tests

* fix(tests): import slow...

* fix(readme_hd): remove whitespace edit

* fix(tokenizer): auto tokenizer tuple

* skip doctests for `modeling_stablelm`
      de6029a0
  31. 17 Jan, 2024 1 commit
    • Junyang Lin's avatar
      Add qwen2 (#28436) · d6ffe74d
      Junyang Lin authored 
      

* add config, modeling, and tokenization

* add auto and init

* update readme

* update readme

* update team name

* fixup

* fixup

* update config

* update code style

* update for fixup

* update for fixup

* update for fixup

* update for testing

* update for testing

* fix bug for config and tokenization

* fix bug for bos token

* not doctest

* debug tokenizer

* not doctest

* debug tokenization

* debug init for tokenizer

* fix style

* update init

* delete if in token auto

* add tokenizer doc

* add tokenizer in init

* Update dummy_tokenizers_objects.py

* update

* update

* debug

* Update tokenization_qwen2.py

* debug

* Update convert_slow_tokenizer.py

* add copies

* add copied from and make style

* update files map

* update test

* fix style

* fix merge reading and update tests

* fix tests

* fix tests

* fix style

* debug a variable in readme

* Update src/transformers/models/qwen2/configuration_qwen2.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* update test and copied from

* fix style

* update qwen2 tokenization  and tests

* Update tokenization_qwen2.py

* delete the copied from after property

* fix style

* update tests

* update tests

* add copied from

* fix bugs

* update doc

* add warning for sliding window attention

* update qwen2 tokenization

* fix style

* Update src/transformers/models/qwen2/modeling_qwen2.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* fix tokenizer fast

---------
Co-authored-by: default avatarRen Xuancheng <jklj077@users.noreply.github.com>
Co-authored-by: default avatarrenxuancheng.rxc <renxuancheng.rxc@alibaba-inc.com>
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      d6ffe74d
  33. 22 Dec, 2023 1 commit
  35. 18 Dec, 2023 1 commit
  37. 13 Dec, 2023 1 commit
    • Younes Belkada's avatar
      Adds VIP-llava to transformers (#27932) · c7f076a0
      Younes Belkada authored 
      * v1

* add-new-model-like

* revert

* fix forward and conversion script

* revert

* fix copies

* fixup

* fix

* Update docs/source/en/index.md

* Apply suggestions from code review

* push

* fix

* fixes here and there

* up

* fixup and fix tests

* Apply suggestions from code review

* add docs

* fixup

* fixes

* docstring

* add docstring

* fixup

* docstring

* fixup

* nit

* docs

* more copies

* fix copies

* nit

* update test
      c7f076a0
  39. 12 Dec, 2023 1 commit
  41. 11 Dec, 2023 1 commit
    • Arthur's avatar
      [`Add Mixtral`] Adds support for the Mixtral MoE (#27942) · accccdd0
      Arthur authored 
      

* up

* up

* test

* logits ok

* up

* up

* few fixes

* conversion script

* up

* nits

* nits

* update

* nuke

* more updates

* nites

* fix many issues

* nit

* scatter

* nit

* nuke megablocks

* nits

* fix conversion script

* nit

* remove

* nits

* nit

* update

* oupsssss

* change

* nits device

* nits

* fixup

* update

* merge

* add copied from

* fix the copy mentions

* update tests

* more fixes

* nits

* conversion script

* add parts of the readme

* Update tests/models/mixtral/test_modeling_mixtral.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* new test + conversion script

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

* Apply suggestions from code review

* fix

* fix copies

* fix copies

* ooops

* fix config

* Apply suggestions from code review

* fix nits

* nit

* add copies

* add batched tests

* docs

* fix flash attention

* let's add more verbose

* add correct outputs

* support router ouptus

* ignore copies where needed

* fix

* cat list if list is given for now

* nits

* Update docs/source/en/model_doc/mixtral.md

* finish router refactoring

* fix forward

* fix expected values

* nits

* fixup

* fix

* fix bug

* fix

* fix dtype mismatch

* fix

* grrr grrr I support item assignment

* fix CI

* docs

* fixup

* remove some copied form

* fix weird diff

* skip doctest fast on the config and modeling

* mark that is supports flash attention in the doc

* update

* Update src/transformers/models/mixtral/modeling_mixtral.py
Co-authored-by: default avatarLysandre Debut <hi@lysand.re>

* Update docs/source/en/model_doc/mixtral.md
Co-authored-by: default avatarLysandre Debut <hi@lysand.re>

* revert router logits config issue

* update doc accordingly

* Update src/transformers/models/mixtral/convert_mixtral_weights_to_hf.py

* nits

* use torch testing asssert close

* fixup

* doc nits

---------
Co-authored-by: default avataryounesbelkada <younesbelkada@gmail.com>
Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: default avatarLysandre Debut <hi@lysand.re>
      accccdd0
  43. 08 Dec, 2023 1 commit
    • fxmarty's avatar
      F.scaled_dot_product_attention support (#26572) · 80377eb0
      fxmarty authored 
      

* add sdpa

* wip

* cleaning

* add ref

* yet more cleaning

* and more :)

* wip llama

* working llama

* add output_attentions=True support

* bigcode sdpa support

* fixes

* gpt-bigcode support, require torch>=2.1.1

* add falcon support

* fix conflicts falcon

* style

* fix attention_mask definition

* remove output_attentions from attnmaskconverter

* support whisper without removing any Copied from statement

* fix mbart default to eager renaming

* fix typo in falcon

* fix is_causal in SDPA

* check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained

* add warnings when falling back on the manual implementation

* precise doc

* wip replace _flash_attn_enabled by config.attn_implementation

* fix typo

* add tests

* style

* add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace

* obey to config.attn_implementation if a config is passed in from_pretrained

* fix is_torch_sdpa_available when torch is not installed

* remove dead code

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

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

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

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

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

* Update src/transformers/models/bart/modeling_bart.py
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* remove duplicate pretraining_tp code

* add dropout in llama

* precise comment on attn_mask

* add fmt: off for _unmask_unattended docstring

* precise num_masks comment

* nuke pretraining_tp in LlamaSDPAAttention following Arthur's suggestion

* cleanup modeling_utils

* backward compatibility

* fix style as requested

* style

* improve documentation

* test pass

* style

* add _unmask_unattended tests

* skip meaningless tests for idefics

* hard_check SDPA requirements when specifically requested

* standardize the use if XXX_ATTENTION_CLASSES

* fix SDPA bug with mem-efficient backend on CUDA when using fp32

* fix test

* rely on SDPA is_causal parameter to handle the causal mask in some cases

* fix FALCON_ATTENTION_CLASSES

* remove _flash_attn_2_enabled occurences

* fix test

* add OPT to the list of supported flash models

* improve test

* properly test on different SDPA backends, on different dtypes & properly handle separately the pad tokens in the test

* remove remaining _flash_attn_2_enabled occurence

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

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

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

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

* Update docs/source/en/perf_infer_gpu_one.md
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>

* remove use_attn_implementation

* fix docstring & slight bug

* make attn_implementation internal (_attn_implementation)

* typos

* fix tests

* deprecate use_flash_attention_2=True

* fix test

* add back llama that was removed by mistake

* fix tests

* remove _flash_attn_2_enabled occurences bis

* add check & test that passed attn_implementation is valid

* fix falcon torchscript export

* fix device of mask in tests

* add tip about torch.jit.trace and move bt doc below sdpa

* fix parameterized.expand order

* move tests from test_modeling_attn_mask_utils to test_modeling_utils as a relevant test class is already there

* update sdpaattention class with the new cache

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

* Update src/transformers/models/bark/modeling_bark.py

* address review comments

* WIP torch.jit.trace fix. left: test both eager & sdpa

* add test for torch.jit.trace for both eager/sdpa

* fix falcon with torch==2.0 that needs to use sdpa

* fix doc

* hopefully last fix

* fix key_value_length that has no default now in mask converter

* is it flacky?

* fix speculative decoding bug

* tests do pass

* fix following #27907

---------
Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      80377eb0
  45. 04 Dec, 2023 1 commit
  47. 24 Nov, 2023 1 commit
  49. 10 Nov, 2023 1 commit
  51. 31 Oct, 2023 2 commits
  53. 03 Oct, 2023 1 commit
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    • Tim Dettmers's avatar
      4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) (#23479) · 9d73b922
      Tim Dettmers authored 
      

* 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: default avatarSylvain 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: default avataryounesbelkada <younesbelkada@gmail.com>
Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      9d73b922
  75. 27 Apr, 2023 1 commit