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v1.8.0

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suppress pydantic warnings for model_ fields (#2344) (#2345)

v1.7.0

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Fix for OOM Errors during Ultrachat200k Finetuning (#2180) (#2181)

* testing fix

* get rid of repeated log

* revert yaml

v1.6.1

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[Cherry-pick] Hotfix 1.6.1 for license changes (#1915)

* Update NOTICE (#1871)

* Update NOTICE

changed reference to DS LICENSE-NEURALMAGIC to LICENSE.

* Update NOTICE

fixed apache reference.

* Update NOTICE

Last fix

* pick up license change and update version to 1.6.1

---------

Co-authored-by: Rob Greenberg <100797996+rgreenberg1@users.noreply.github.com>
Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

v1.6.0

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[Cherry-Pick][Fix] Failing `test_save_zoo_directory` tests (#1869)

* "AttributeError: 'torch._C.Value' object has no attribute 'float'" sparseml.transformers.export_onnx for zoo:bert-base_cased-squad_wikipedia_bookcorpus-pruned80.4block_quantized (#1847)

* [Fix] Failing  tests

v1.5.4

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[Cherry Pick 1.5.4] Fix Index error with nm-transformers 1.5.1 upgrade (

#1708)

* Fix Index error with 1.5.1 transformers upgrade

* Deafult resolve_archive_file to None instead of empty list

* Update Hotfix version

* Remove failing tensorflow_v1 tests; they are outdated and not supported now

v1.5.3

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[cherry-pick 1.5.3] pin pydantic to <2.0 (#1645) (#1651)

* pin pydantic to <2.0 (#1645)

* bump version to 1.5.3

v1.5.2

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[1.5.2] restrict pandas to <2.0 (#1634)

* restrict pandas to <2.0

this fixes a bug in the latest NM 1.5 supported transformers datasets that is incompatible with pandas 2.0. Future releases will support later datasets versions

* bump version to 1.5.2

v1.5.1

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Adds back a required argument in default.yaml (#1620)

Updates the hotfix version

v1.5.0

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Set bias as optional for convolution folding. Needed for CLIP (#1581)

* Set bias as optional for convolution folding. Needed for CLIP

* Quality fixes

* Merge

v1.4.4

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[ONNX] support for setting/getting string onnx tensor shapes (#1478) (#…

…1480)

* [ONNX] support for setting/getting string onnx tensor shapes

* Apply suggestions from code review