* [PEFT] Set eval mode when loading PEFT adapter
Resolves#34469
When calling model.load_adapter to load a PEFT adapter, by default the
adapter should be set to eval mode. This is now correctly done. Users
can still pass is_trainable=True to load the adapter in training mode.
* Linter
* explain release_memory
* Update docs/source/en/llm_tutorial_optimization.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Add docs/source/ar/benchmarks.md to Add_docs_source_ar_benchmarks.md
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update docs/source/ar/benchmarks.md
Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Update _toctree.yml
* Update benchmarks.md
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Co-authored-by: Abdullah Mohammed <554032+abodacs@users.noreply.github.com>
* Initial draft
* Add .jinja file loading for processors
* Add processor saving of naked chat template files
* make fixup
* Add save-load test for tokenizers
* Add save-load test for tokenizers
* stash commit
* Try popping the file
* make fixup
* Pop the arg correctly
* Pop the arg correctly
* Add processor test
* Fix processor code
* stash commit
* Processor clobbers child tokenizer's chat template
* Processor clobbers child tokenizer's chat template
* make fixup
* Split processor/tokenizer files to avoid interactions
* fix test
* Expand processor tests
* Rename arg to "save_raw_chat_template" across all classes
* Update processor warning
* Move templates to single file
* Move templates to single file
* Improve testing for processor/tokenizer clashes
* Improve testing for processor/tokenizer clashes
* Extend saving test
* Test file priority correctly
* make fixup
* Don't pop the chat template file before the slow tokenizer gets a look
* Remove breakpoint
* make fixup
* Fix error
* change apply_rotary_pos_emb
* upload for glm-edge
* remove useless part
* follow the suggestion
* fix
* format
* format
* test
* format again
* format again
* remove modular change
* remove modular change
* this apply_rotary_pos_emb need modify?
* fix with this
* format
* format
* ruff check
* modify modular_glm failed
* remove partial_rotary_factor of function partial_rotary_factor
* fix wrong change of examples/research_projects
* revert
* remove line 118
* use q_rot
* fix test_tiny_timestamp_generation
* fix test_large_timestamp_generation
* fix test_whisper_shortform_single_batch_prev_cond
* fix test_whisper_shortform_multi_batch_hard_prev_cond
* return_timestamps necessary with long form
* fix test_default_multilingual_transcription_long_form
* fix test_tiny_token_timestamp_generation_longform
* fix test_whisper_longform_multi_batch_hard
* Update tests/models/whisper/test_modeling_whisper.py
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* fix typo
* do not expect special tokens
* fix test_whisper_longform_single_batch_beam
* fix test_whisper_longform_multi_batch_hard_prev_cond
* update test_whisper_longform_multi_batch_hard_prev_cond
* update test_whisper_longform_multi_batch_hard_prev_cond
* these tests does not make sense anymore
* this test does not make sense anymore
* make fixup
* suggested nits
* add test with forced_decoder_ids
* this test does not make sense anymore
* change assert for unittest test cases
* make fixup
* test with prompt_ids and task and language
* fix unittest test case call
* fix test_tiny_generation
* fix test_tiny_en_generation
* fix test_tiny_en_batched_generation
* fix test_tiny_longform_timestamps_generation
* fix test_tiny_timestamp_generation
* fix test_large_generation
* fix test_large_batched_generation
* fix test_large_generation_multilingual
* fix test_large_timestamp_generation
* fix test_large_timestamp_generation
* fix test_tiny_token_timestamp_generation_longform
* fix test_tiny_en_batched_generation
* make fixup
* [run-slow] whisper
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Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>
* Updated documentation and added conversion utility
* Update docs/source/en/tiktoken.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/tiktoken.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Moved util function to integration folder + allow for str
* Update formatting
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Updated formatting
* style changes
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
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
