GitLab

* Bump minimum PyTorch to 2.3

* Tests: Fix Windows numpy<2 compatibility for torch<2.4.1

* implemented 8bit optimizers

* Add interface

* Commented out torch checks

* Merged

* Updated kernels

* Reused code for quant/dequant

* Removed empty line

* Changed Readme

* Add SYCL Kernels for XPU backend

* fix transpose
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix log and format
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* revert cpu changes
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* clean ipex_xpu
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* clean ipex import
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix ipex cpu import
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix typo
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix comments
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* refine gemv_4bit kernel

* enable FP4 for dequant_4bit and gemv_4bit

* refine FP4 dequantization performance

* remove check for better performance
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix doc
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* clean code

* fix tests
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* rm comments
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix memory issue

* fix ut failure

* adjust threshold
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix xpu check
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* change test_functional check
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix test_module
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix device check
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix tests
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Enable Windows build and refine code

* fix xpu log
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* remove ipex entirely
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix cpu int8 CB
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix lint
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix logs (#12)

* fix logs
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix format
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

---------
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix sycl lint error and tests (#13)

* fix sycl nd
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix tests
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

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Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* skip typo check for xpu kernel codes (#14)

* skip test for xpu ops
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* fix lint
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* skip typo for xpu
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* skip
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* skip
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

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Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* register triton kernel for quantization (#15)
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix version comparison issue (#18)

# Description

The version comparison expression miss reference the .release property from the version object. This lead to compare between the tuple and the string

# Error message
```
The 8-bit optimizer is not available on your device, only available on CUDA for now.
🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
Traceback (most recent call last):
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/unsloth_validation/run.py", line 1, in <module>
    import unsloth
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/__init__.py", line 235, in <module>
    from .models import *
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/__init__.py", line 15, in <module>
    from .llama     import FastLlamaModel
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/llama.py", line 23, in <module>
    from ._utils import *
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth/models/_utils.py", line 89, in <module>
    from unsloth_zoo.patching_utils import (
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/unsloth_zoo/patching_utils.py", line 629, in <module>
    import transformers.integrations.bitsandbytes
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/v/lib/python3.10/site-packages/transformers/integrations/bitsandbytes.py", line 20, in <module>
    import bitsandbytes as bnb
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/bitsandbytes/bitsandbytes/__init__.py", line 39, in <module>
    from .backends.xpu import ops as xpu_ops
  File "/home/erxin/jenkins/workspace/Unsloth_Benchmark/bitsandbytes/bitsandbytes/backends/xpu/ops.py", line 17, in <module>
    if version.parse(torch.__version__).release >= version.parse("2.9"):
TypeError: '>=' not supported between instances of 'tuple' and 'Version'
```

---------
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: jiqing-feng <jiqing.feng@intel.com>
Co-authored-by: Er-Xin (Edwin) Shang <shangerxin@hotmail.com>

* Implemented 32bit optimizers in triton

* Modify Comments

* Optimizing pure torch implementation

* Restore the order of parameters and modify the position of pure pytorch implementation

* Restore files permissions

---------
Co-authored-by: Fanli Lin <fanli.lin@intel.com>

* Test suite improvements for MPS/XPU/HPU

* Skip test on torch==2.8.0+cpu for Windows regression

* Add parametrize util for targeting parameters outside of nn.Linear modules

* Parametrize 4bit: replace existing prequantized weight

* cleanup

* Add caching for parametrization

* Add tests

* Fix tests

* Guard for torch < 2.5

* Guard for torch < 2.5

* Another test gaurd for torch >= 2.5

* for intel xpu case, use MatMul8bitFp even not use ipex
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* fix lint issue
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

---------
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* add int mm for xpu after torch 2.9
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* add packaging on pyproject
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

---------
Signed-off-by: jiqing-feng <jiqing.feng@intel.com>

* Fix unused variable warnings and other ruff warnings
Signed-off-by: cyy <cyyever@outlook.com>

* Fix format
Signed-off-by: cyy <cyyever@outlook.com>

---------
Signed-off-by: cyy <cyyever@outlook.com>

Signed-off-by: cyy <cyyever@outlook.com>

[CUDA] Fixing quantization uint8 packing bug for NF4 and FP4

Fix Params4bit tensor subclass handling

Add Volta support in cu128/cu129 builds

Create FUNDING.yml

Add kernel registration for 8bit and 32bit optimizers