Add Bitnet model (#37742)

* Adding BitNet b1.58 Model

* Add testing code for BitNet

* Fix format issues

* Fix docstring format issues

* Fix docstring

* Fix docstring

* Fix: weight back to uint8

* Fix

* Fix format issues

* Remove copy comments

* Add model link to the docstring

* Fix: set tie_word_embeddings default to false

* Update

* Generate modeling file

* Change config name for automatically generating modeling file.

* Generate modeling file

* Fix class name

* Change testing branch

* Remove unused param

* Fix config docstring

* Add docstring for BitNetQuantConfig.

* Fix docstring

* Update docs/source/en/model_doc/bitnet.md

Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com>

* Update docs/source/en/model_doc/bitnet.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update bitnet config

* Update explanation between online and offline mode

* Remove space

* revert changes

* more revert

* spaces

* update

* fix-copies

* doc fix

* fix minor nits

* empty

* small nit

* empty

---------

Co-authored-by: Shuming Ma <shumingma@pku.edu.cn>
Co-authored-by: shumingma <shmingm@gmail.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

tests/quantization/bitnet_integration/test_bitnet.py

@@ -19,7 +19,7 @@ from transformers import (
     AutoConfig,
     AutoModelForCausalLM,
     AutoTokenizer,
-    BitNetConfig,
+    BitNetQuantConfig,
     OPTForCausalLM,
 )
 from transformers.testing_utils import (
@@ -39,12 +39,12 @@ if is_accelerate_available():
 
 
 @require_torch_gpu
-class BitNetConfigTest(unittest.TestCase):
+class BitNetQuantConfigTest(unittest.TestCase):
     def test_to_dict(self):
         """
         Simple test that checks if one uses a config and converts it to a dict, the dict is the same as the config object
         """
-        quantization_config = BitNetConfig()
+        quantization_config = BitNetQuantConfig()
         config_to_dict = quantization_config.to_dict()
 
         for key in config_to_dict: