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Merged
stevenireeves merged 2 commits into from
Feb 22, 2022
Merged

Bert tf2 #9

stevenireeves merged 2 commits into from
Feb 22, 2022

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@stevenireeves stevenireeves commented Feb 22, 2022

What does this PR do?

Fixes # (issue)

Before submitting

  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  • Did you read the contributor guideline,
    Pull Request section?
  • Was this discussed/approved via a Github issue or the forum? Please add a link
    to it if that's the case.
  • Did you make sure to update the documentation with your changes? Here are the
    documentation guidelines, and
    here are tips on formatting docstrings.
  • Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors which may be interested in your PR.

@stevenireeves stevenireeves reopened this Feb 22, 2022
@stevenireeves stevenireeves merged commit 25329fb into master Feb 22, 2022
@stevenireeves stevenireeves deleted the bert-tf2 branch February 22, 2022 15:58
Cemberk pushed a commit that referenced this pull request May 9, 2024
@saurabhdash2512 @ahmetustun
@younesbelkada @Rocketknight1
Cohere Model Release (huggingface#29622)
0e4a1c3 
* 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: ahmetustun <[email protected]>
Co-authored-by: Younes Belkada <[email protected]>
Co-authored-by: Matt <[email protected]>
Cemberk pushed a commit that referenced this pull request Jan 28, 2025
@jiqing-feng @ZX-ModelCloud
@Qubitium @SunMarc @MekkCyber @stevhliu
Enable gptqmodel (huggingface#35012)
387663e 
* gptqmodel

Signed-off-by: jiqing-feng <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* update readme

Signed-off-by: jiqing-feng <[email protected]>

* gptqmodel need use checkpoint_format (#1)

* gptqmodel need use checkpoint_format

* fix quantize

* Update quantization_config.py

* Update quantization_config.py

* Update quantization_config.py

---------

Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>

* Revert quantizer_gptq.py (#2)

* revert quantizer_gptq.py change

* pass **kwargs

* limit gptqmodel and optimum version

Signed-off-by: jiqing-feng <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* fix warning

Signed-off-by: jiqing-feng <[email protected]>

* fix version check

Signed-off-by: jiqing-feng <[email protected]>

* revert unrelated changes

Signed-off-by: jiqing-feng <[email protected]>

* enable gptqmodel tests

Signed-off-by: jiqing-feng <[email protected]>

* fix requires gptq

Signed-off-by: jiqing-feng <[email protected]>

* Fix Transformer compat (#3)

* revert quantizer_gptq.py change

* pass **kwargs

* add meta info

* cleanup

* cleanup

* Update quantization_config.py

* hf_select_quant_linear pass checkpoint_format and meta

* fix GPTQTestCUDA

* Update test_gptq.py

* gptqmodel.hf_select_quant_linear() now does not select ExllamaV2

* cleanup

* add backend

* cleanup

* cleanup

* no need check exllama version

* Update quantization_config.py

* lower checkpoint_format and backend

* check none

* cleanup

* Update quantization_config.py

* fix self.use_exllama == False

* spell

* fix unittest

* fix unittest

---------

Co-authored-by: LRL <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* fix format again

Signed-off-by: jiqing-feng <[email protected]>

* update gptqmodel version (#6)

* update gptqmodel version

* update gptqmodel version

* fix unit test (#5)

* update gptqmodel version

* update gptqmodel version

* "not self.use_exllama" is not equivalent to "self.use_exllama==False"

* fix unittest

* update gptqmodel version

* backend is loading_attibutes (#7)

* fix format and tests

Signed-off-by: jiqing-feng <[email protected]>

* fix memory check

Signed-off-by: jiqing-feng <[email protected]>

* fix device mismatch

Signed-off-by: jiqing-feng <[email protected]>

* fix result check

Signed-off-by: jiqing-feng <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* update tests

Signed-off-by: jiqing-feng <[email protected]>

* review: update docs (#10)

* review: update docs (#12)

* review: update docs

* fix typo

* update tests for gptqmodel

Signed-off-by: jiqing-feng <[email protected]>

* update document (#9)

* update overview.md

* cleanup

* Update overview.md

* Update overview.md

* Update overview.md

* update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

---------

Co-authored-by: Qubitium-ModelCloud <[email protected]>

* typo

* doc note for asymmetric quant

* typo with apple silicon(e)

* typo for marlin

* column name revert: review

* doc rocm support

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

---------

Signed-off-by: jiqing-feng <[email protected]>
Co-authored-by: LRL-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: LRL <[email protected]>
Co-authored-by: Marc Sun <[email protected]>
Co-authored-by: Mohamed Mekkouri <[email protected]>
Co-authored-by: Steven Liu <[email protected]>
Cemberk pushed a commit that referenced this pull request Mar 12, 2025
@elvircrn @stevhliu
@jiqing-feng @ZX-ModelCloud @Qubitium @SunMarc @MekkCyber @ArthurZucker
Efficient Inference Kernel for SpQR (huggingface#34976)
845b0a2 
* Resolve vptq conflict

* Rename spqr package to spqr_quant

* Get rid of aqlm mention

* Start working on tests

* Resolve ruff code checks

* Ruff format

* Isort

* Test updates

* Add gpu tag

* Rename to modules_to_not_convert

* Config update

* Docs and config update

* Docs and config update

* Update to update_torch_dtype

* spqr config parameter validation

* Ruff update

* Apply ruff fixes

* Test fixes

* Ruff update

* Mark tests as @slow again; Ruff; Docstring update

* Ruff

* Remove absolute path

* Resolve typo

* Remove redundandt log

* Check accelerate/spqr availability

* Ruff fix

* Check if the config contains proper shapes

* Ruff test

* Documentation update

* overview update

* Ruff checks

* Ruff code quality

* Make style

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

Co-authored-by: Steven Liu <[email protected]>

* Update spqr.md

* Enable gptqmodel (huggingface#35012)

* gptqmodel

Signed-off-by: jiqing-feng <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* update readme

Signed-off-by: jiqing-feng <[email protected]>

* gptqmodel need use checkpoint_format (#1)

* gptqmodel need use checkpoint_format

* fix quantize

* Update quantization_config.py

* Update quantization_config.py

* Update quantization_config.py

---------

Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>

* Revert quantizer_gptq.py (#2)

* revert quantizer_gptq.py change

* pass **kwargs

* limit gptqmodel and optimum version

Signed-off-by: jiqing-feng <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* fix warning

Signed-off-by: jiqing-feng <[email protected]>

* fix version check

Signed-off-by: jiqing-feng <[email protected]>

* revert unrelated changes

Signed-off-by: jiqing-feng <[email protected]>

* enable gptqmodel tests

Signed-off-by: jiqing-feng <[email protected]>

* fix requires gptq

Signed-off-by: jiqing-feng <[email protected]>

* Fix Transformer compat (#3)

* revert quantizer_gptq.py change

* pass **kwargs

* add meta info

* cleanup

* cleanup

* Update quantization_config.py

* hf_select_quant_linear pass checkpoint_format and meta

* fix GPTQTestCUDA

* Update test_gptq.py

* gptqmodel.hf_select_quant_linear() now does not select ExllamaV2

* cleanup

* add backend

* cleanup

* cleanup

* no need check exllama version

* Update quantization_config.py

* lower checkpoint_format and backend

* check none

* cleanup

* Update quantization_config.py

* fix self.use_exllama == False

* spell

* fix unittest

* fix unittest

---------

Co-authored-by: LRL <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>

* fix format

Signed-off-by: jiqing-feng <[email protected]>

* fix format again

Signed-off-by: jiqing-feng <[email protected]>

* update gptqmodel version (#6)

* update gptqmodel version

* update gptqmodel version

* fix unit test (#5)

* update gptqmodel version

* update gptqmodel version

* "not self.use_exllama" is not equivalent to "self.use_exllama==False"

* fix unittest

* update gptqmodel version

* backend is loading_attibutes (#7)

* fix format and tests

Signed-off-by: jiqing-feng <[email protected]>

* fix memory check

Signed-off-by: jiqing-feng <[email protected]>

* fix device mismatch

Signed-off-by: jiqing-feng <[email protected]>

* fix result check

Signed-off-by: jiqing-feng <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* Update src/transformers/quantizers/quantizer_gptq.py

Co-authored-by: Marc Sun <[email protected]>

* update tests

Signed-off-by: jiqing-feng <[email protected]>

* review: update docs (#10)

* review: update docs (#12)

* review: update docs

* fix typo

* update tests for gptqmodel

Signed-off-by: jiqing-feng <[email protected]>

* update document (#9)

* update overview.md

* cleanup

* Update overview.md

* Update overview.md

* Update overview.md

* update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

* Update gptq.md

---------

Co-authored-by: Qubitium-ModelCloud <[email protected]>

* typo

* doc note for asymmetric quant

* typo with apple silicon(e)

* typo for marlin

* column name revert: review

* doc rocm support

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

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

Co-authored-by: Steven Liu <[email protected]>

---------

Signed-off-by: jiqing-feng <[email protected]>
Co-authored-by: LRL-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: LRL <[email protected]>
Co-authored-by: Marc Sun <[email protected]>
Co-authored-by: Mohamed Mekkouri <[email protected]>
Co-authored-by: Steven Liu <[email protected]>

* Fix : Nemotron Processor in GGUF conversion (huggingface#35708)

* fixing nemotron processor

* make style

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

Co-authored-by: Arthur <[email protected]>

* Add missing TOC to doc

---------

Signed-off-by: jiqing-feng <[email protected]>
Co-authored-by: Steven Liu <[email protected]>
Co-authored-by: jiqing-feng <[email protected]>
Co-authored-by: LRL-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: Qubitium-ModelCloud <[email protected]>
Co-authored-by: ZX-ModelCloud <[email protected]>
Co-authored-by: LRL <[email protected]>
Co-authored-by: Marc Sun <[email protected]>
Co-authored-by: Mohamed Mekkouri <[email protected]>
Co-authored-by: Arthur <[email protected]>
Cemberk pushed a commit that referenced this pull request Mar 19, 2025
@keyboardAnt @jmamou
@gauravj14 @gauravjain14
Universal Speculative Decoding CandidateGenerator (huggingface#35029)
d18d9c3 
* move `TestAssistedCandidateGeneratorDifferentTokenizers` into a new testing file

* refactor

* NOTHING. add space to rerun github actions tests

* remove it...

* `UniversalSpeculativeDecodingGenerator`

* Use `UniversalSpeculativeDecodingGenerator` when `generation_config.do_sample=True`

* assistant tokenizes only the target's new suffix

* formatting

* fix code

* fix code

* formatting

* add `TestGenerateWithDifferentModels`

* `TestGenerateWithDifferentModels` parameterize on `do_sample`

* `AssistantVocabMapping` & `AssistantVocabMappingCache`

* formatting

* `AssistantToTargetTranslator`: `get_target_input_ids` & `get_target_logits`

* improve `_get_assistant_to_target_input_ids` & formatting

* renaming

* WIP: debugging `min_new_tokens`

* fix get_target_ids

* `UniversalSpeculativeDecodingGenerator`

* assistant tokenizes only the target's new suffix

* formatting

* fix code

* fix code

* formatting

* `TestGenerateWithDifferentModels` parameterize on `do_sample`

* `AssistantVocabMapping` & `AssistantVocabMappingCache`

* formatting

* `AssistantToTargetTranslator`: `get_target_input_ids` & `get_target_logits`

* improve `_get_assistant_to_target_input_ids` & formatting

* renaming

* WIP: debugging `min_new_tokens`

* fix get_target_ids

* fix device issue

* fix get_assistant_input_ids

* add `TestAssistedCandidateGeneratorDifferentTokenizers`

* formatting

* `AssistantVocabTranslatorCache` refactor & tests

* revert changes in `src/transformers/generation/logits_process.py`

* refactor `AssistedCandidateGenerator`

* refactor `AssistedCandidateGeneratorDifferentTokenizers`

* formatting

* refactor `UniversalSpeculativeDecodingGenerator`

* fix negative value for max_new_tokens

* fix generation length target + attention_mask vs. assistant + attent

* fix device

* fix negative max_new_tokens bug

* fix UAG

* minor

* formatting

* `AssistedCandidateGeneratorDifferentTokenizers` `lookbehind`s init

* resolve conflict & formatting

* rerun CI tests

* remove space...

* remove old code

* fix candidate_input_ids device

* minor

* formatting

* Fix prepare + apply (#7)

* fix prepare + apply

* move to cpu

* simplity suppress_tokens

* fix bugs and refacatoring

* device move

* handle self.config.vocab_size > len(target_tokenizer.get_vocab())

* no need to normalize in candidate_generator

* address Nadav's comments + minor

* optimize device move + SuppressTokensLogitsProcessor

* AssistantToTargetTranslator, SuppressTokensLogitsProcessor and tokenizers mapping improvements

* padding size

* padding improvement

* fix and simplify get_target_logits

* renaming in get_target_logits

* minor

* add filter_value and suppress_tokens_id

* style + rename

* remove TODO

* restore original SelectTokensLogitsProcessor with modification

* fix style

* fix _update_past_and_masks and optimize code

* remove assistant_vocab_size arg

* fix attention_mask

* call _prepare_attention_mask also if not has_past_key_values

* handling attention mask for first generation

* comment

* restore test

* remove SelectTokensLogitsProcessor

* _update_past_and_masks implementation for USD

* Add unittests for Universal Assisted generation

* fix style

* update tests

* Remove unused import and fix `test_speculation_depth` test

* exclude special and reserved tokens from tokenizer for UAG

* mv `test_universal_assisted_generation.py` to `generation/test_candidate_generator.py`

* Remove unused imports and fix style using `make style` (#9)

* formatting

* Swap gated `meta-llama/llama-3.2` with `allenai/llama` (#10)

* Fix space sign disagreement (#12)

* default values for AssistantToTargetTranslator fileds

* fix space sign

* minor

* fix test + style

* Default values for some fields of assistant to target translator (#11)

* default values for AssistantToTargetTranslator fileds

* fix

* add support to empty logit_processors

* Update candidate_generator.py (#15)

fix typo

* BUG fix in _prepare_assistant_input_ids (#14)

* fix _prepare_assistant_input_ids

* target_to_assistant_input_ids

* Update src/transformers/generation/candidate_generator.py

Co-authored-by: Nadav Timor <[email protected]>

---------

Co-authored-by: Nadav Timor <[email protected]>

* typo (`target_to_assistant_input_ids`)

* formatting

* merge upstream/main

* Fix minor review comments (#16)

* Fix: `token_ids.to(torch.int64)` (#18)

* tok ids to `torch.int64` (reference: https://huggingface.co/docs/transformers.js/en/api/tokenizers)

* `LongTensor`

* fix dtype

* `assistant_input_ids.to(dtype=torch.long)`

* Remove unused import from test_candidate_generator.py

* Remove unused import from test_candidate_generator.py

* Remove `numpy` import

* resolve pr comments (#19)

* `AssistantToTargetTranslator` docstring

* (per gante's comment) `filter_value` and `suppress_tokens_id` to class constants

* update `AssistantToTargetTranslator` docstring

* (gante's comment) replace `match-case`

* formatting

* Fix Joao's comments (#21)

* remove threading

* fix logits_processor

* fix test device

* fix style (#23)

* Move atm (#24)

* move AssistantToTargetTranslator

* fixup

* fix logit_processor

* add atm_translator test

* refactor test

* remove threading from test

* add require_torch in tests

* move AssistantVocabTranslatorCache + add tests

* ruff fix

---------

Co-authored-by: jmamou <[email protected]>
Co-authored-by: Gaurav <[email protected]>
Co-authored-by: Gaurav Jain <[email protected]>
Co-authored-by: gauravjain14 <[email protected]>
Cemberk pushed a commit that referenced this pull request Nov 13, 2025
@yjc9696 @mingjihantencent
HunYuan opensource (huggingface#39606)
cf487cd 
* merge opensource_hunyuan

* add head_dim

* fix assertion error

* fix seen_tokens

* ready_for_upstream (merge request !17)

Squash merge branch 'ready_for_upstream' into 'main'

* fix configuration type&docstring
* fix style

* ready_for_upstream (merge request !18)

Squash merge branch 'ready_for_upstream' into 'main'
* add doc
* fix testcode
* fix configuration type&docstring

* rename base model

* remove assert

* update

* remove tiktoken

* update

* fix moe and code style (#3)

* update

* fix format

* update

* revert makefile

* fix moe config

* fix numel()

* remove prepare_inputs_for_generation

* fix kv_seq_len

* add docs/toctree

* remove unused paramter&add licence

* add licence

* remove unused paramter

* fix code

* dense modular

update import

fix

fix

use mistralmodel

fix qknorm

add sliding_window

make style

fix

dense done

hunyuan moe

fix import

fix modular

fixup

fixup

* update model path

* fix mlp_bias

* fix modular

* Fix modeling (#5)

* fix attention

* use llamamodel

* fix code

* Fix qk (#6)

* fix qk_norm

* fix

* fix modual

* Fix moe (#7)

* fix some moe code

* fix einsum

* try top1

* use top1

* Fix rotary (#8)

* fix rotary

* fix modeling

* fix modular

* fix testcode

* remove A13B unit test

* Fix moe v1 (#9)

fix moe & gate

* Fix gate norm (#10)

* add norm_topk_prob

* Fix testcase (#11)

* fix&skip test

* Fix testcase (#12)


* skip testcase

* Fix norm topk (#13)

* hardcode norm_topk_prob

* fix testcase

---------

Co-authored-by: pridejcyang <[email protected]>
Co-authored-by: Mingji Han <[email protected]>
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@stevenireeves @micmelesse