- 24 May, 2023 1 commit
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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:
Sylvain 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:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 16 Aug, 2022 1 commit
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Younes Belkada authored
* bnb minor modifications - refactor documentation - add troubleshooting README - add PyPi library on DockerFile * Apply suggestions from code review Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * put in one block - put bash instructions in one block * update readme - refactor a bit hardware requirements * change text a bit * Apply suggestions from code review Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * apply suggestions Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * add link to paper * Apply suggestions from code review Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Update tests/mixed_int8/README.md * Apply suggestions from code review * refactor a bit * add instructions Turing & Amperer Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * add A6000 * clarify a bit * remove small part * Update tests/mixed_int8/README.md Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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- 10 Aug, 2022 1 commit
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Younes Belkada authored
* first commit * correct replace function * add final changes - works like charm! - cannot implement tests yet - tested * clean up a bit * add bitsandbytes dependencies * working version - added import function - added bitsandbytes utils file * small fix * small fix - fix import issue * fix import issues * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * refactor a bit - move bitsandbytes utils to utils - change comments on functions * reformat docstring - reformat docstring on init_empty_weights_8bit * Update src/transformers/__init__.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * revert bad formatting * change to bitsandbytes * refactor a bit - remove init8bit since it is useless * more refactoring - fixed init empty weights issue - added threshold param * small hack to make it work * Update src/transformers/modeling_utils.py * Update src/transformers/modeling_utils.py * revmoe the small hack * modify utils file * make style + refactor a bit * create correctly device map * add correct dtype for device map creation * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * apply suggestions - remove with torch.grad - do not rely on Python bool magic! * add docstring - add docstring for new kwargs * add docstring - comment `replace_8bit_linear` function - fix weird formatting * - added more documentation - added new utility function for memory footprint tracking - colab demo to add * few modifs - typo doc - force cast into float16 when load_in_8bit is enabled * added colab link * add test architecture + docstring a bit * refactor a bit testing class * make style + refactor a bit * enhance checks - add more checks - start writing saving test * clean up a bit * male style * add more details on doc * add more tests - still needs to fix 2 tests * replace by "or" - could not fix it from GitHub GUI Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * refactor a bit testing code + add readme * make style * fix import issue * Update src/transformers/modeling_utils.py Co-authored-by:
Michael Benayoun <mickbenayoun@gmail.com> * add few comments * add more doctring + make style * more docstring * raise error when loaded in 8bit * make style * add warning if loaded on CPU * add small sanity check * fix small comment * add bitsandbytes on dockerfile * Improve documentation - improve documentation from comments * add few comments * slow tests pass on the VM but not on the CI VM * Fix merge conflict * make style * another test should pass on a multi gpu setup * fix bad import in testing file * Fix slow tests - remove dummy batches - no more CUDA illegal memory errors * odify dockerfile * Update docs/source/en/main_classes/model.mdx * Update Dockerfile * Update model.mdx * Update Dockerfile * Apply suggestions from code review * few modifications - lm head can stay on disk/cpu - change model name so that test pass * change test value - change test value to the correct output - torch bmm changed to baddmm in bloom modeling when merging * modify installation guidelines * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * replace `n`by `name` * merge `load_in_8bit` and `low_cpu_mem_usage` * first try - keep the lm head in full precision * better check - check the attribute `base_model_prefix` instead of computing the number of parameters * added more tests * Update src/transformers/utils/bitsandbytes.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Merge branch 'integration-8bit' of https://github.com/younesbelkada/transformers into integration-8bit * improve documentation - fix typos for installation - change title in the documentation Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Michael Benayoun <mickbenayoun@gmail.com>
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