GitLab

* Embedding4bit and Embedding8bit implementation

* lint

* Update bitsandbytes/nn/modules.py
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

* Update bitsandbytes/nn/modules.py
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

* Update bitsandbytes/nn/modules.py
Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

* saving -> Saving

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Co-authored-by: Matthew Douglas <38992547+matthewdouglas@users.noreply.github.com>

[FSDP] Enable loading prequantized weights with bf16/fp16/fp32 quant_storage

Bumps the minor-patch group with 1 update: [pytest](https://github.com/pytest-dev/pytest).


Updates `pytest` from 8.3.1 to 8.3.2
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/8.3.1...8.3.2

)

---
updated-dependencies:
- dependency-name: pytest
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-patch
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Fix restoration of quant_storage for CPU offloading

* Clarify comment on default quant_storage in Params4bit.from_prequantized()

* fix to make quant_storage dynamic based on serialized dtype

* delete obsolete comment

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Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>

Bumps the minor-patch group with 1 update: [pytest](https://github.com/pytest-dev/pytest).


Updates `pytest` from 8.2.2 to 8.3.1
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/8.2.2...8.3.1

)

---
updated-dependencies:
- dependency-name: pytest
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-patch
...
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* Fixed optim update error with non-contiguous grads
* fix formatting

Thanks @Edenzzzz for this contribution!

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Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>

* fix min_8bit_size invalid bug

* Apply same fix to other optimizer base class

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Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* Add CUDA 12.5 builds and enable CUDA 12.4 on Windows

* Update install doc

* chore: delete useless buffered activation

* fix: fix bugs

* fixed test_4bit_warnings on cpu-only platforms

* fixed linear8bit-based tests for cpu only platforms

Updates the requirements on [matplotlib](https://github.com/matplotlib/matplotlib) to permit the latest version.

Updates `matplotlib` to 3.9.1
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](https://github.com/matplotlib/matplotlib/compare/v3.9.0...v3.9.1

)

---
updated-dependencies:
- dependency-name: matplotlib
  dependency-type: direct:development
  dependency-group: major
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* Add support for building with latest MSVC

* Update MSVC 1940+ support for CUDA builds.

Bumps the minor-patch group with 1 update: [scipy](https://github.com/scipy/scipy).


Updates `scipy` from 1.13.1 to 1.14.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](https://github.com/scipy/scipy/compare/v1.13.1...v1.14.0

)

---
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- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-patch
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pythonInterface.cpp depends on ops.cuh
which in turn depends on some thrust headers.
It is defined as a C++ compilation unit
which is problematic  becuase thrift doesn't guarantee
compatibility with a host compiler.

This is starting to cause issues with CUDA 12.5.
There is no dependency on the thrust headers,
which means they can be removed without other consequences.

* Update build_documentation.yml

* Update build_pr_documentation.yml

* Update build_pr_documentation.yml

* cpu install guide

* update readme

* fix format

* fix format

* fix typo

* add windows guide

* fix readme to pip install . instead of building wheel

* Update docs/source/installation.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/installation.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/installation.mdx
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>

Bumps the minor-patch group with 2 updates in the / directory: [pytest](https://github.com/pytest-dev/pytest) and [lion-pytorch](https://github.com/lucidrains/lion-pytorch).


Updates `pytest` from 8.2.1 to 8.2.2
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/8.2.1...8.2.2)

Updates `lion-pytorch` from 0.1.4 to 0.2.2
- [Release notes](https://github.com/lucidrains/lion-pytorch/releases)
- [Commits](https://github.com/lucidrains/lion-pytorch/compare/0.1.4...0.2.2

)

---
updated-dependencies:
- dependency-name: pytest
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-patch
- dependency-name: lion-pytorch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-patch
...
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* Revert "Add `"lamb"` to `str2optimizer32bit`"

* Update bitsandbytes/functional.py

Add erroneously missing optimizers to `str2optimizer32bit`

FIX_ Prevent __getstate__ from mutating Params4bit

FIX Make Int8Params deepcopy-able

This requires to implement the __deepcopy__ method in Int8Params.
Moreover, there was an issue in the Linear8BitLT constructor that would
assign instance attributes to the class, which is now fixed.

Please review carefully that this does not impact existing code.

Tests that I ran:

- pytest tests/test_linear8bitlt.py
- in PEFT: python -m pytest -m "single_gpu_tests and bitsandbytes" tests/test_gpu_examples.py
- in PEFT: python -m pytest -m "single_gpu_tests and bitsandbytes" tests/test_common_gpu.py
- in transformers: RUN_SLOW=1 python -m pytest tests/quantization/bnb -x

As discussed internally, use state = self.__dict__.copy(), which is also
what the Python docs recommend.