add Glm (#33823)

* Create modular_glm.py

* Update modular_glm.py

* Finalize architecture without all attentions

* Add all attentions modules

* Finalize modular

* Update given last version

* Last update

* Finalize model

* Finalize converter

* Update convert_glm_weights_to_hf.py

* style

* style

* Create __init__.py

* Aff all inits

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Correct the rotary embeddings

* Remove apply_residual_connection_post_layernorm (always false)

* remove use_rms_norm (always true)

* remove past_layer_norm (always true)

* Update __init__.py

* Update config and license

* start adding tests and doc

* Add doc + style

* Update test_modeling_glm.py

* Add dummies

* Apply correct modeling

* Refactor attention to follow llama

* Update __init__.py

* Update convert_glm_weights_to_hf.py

* Correct bias

* remove linear_bias and pdrop (never used)

* apply modular

* Simplify converter

* remove dummies + style

* add model_input_names

* Add pretraining_tp to config for when eager attention is used

* Update modular to remove all pretraining_tp

* Update test_modeling_glm.py

* Update the __all__

* Update __all__

* Update __init__.py

* Update test_modeling_glm.py

* add revisions

* Add the correct repos and revisions

* style

* Update __init__.py

* update exports

* remove import of modular files

* style

* Apply Llama changes + refine converter

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* Update convert_glm_weights_to_hf.py

* style

* Use new modular converter

* add pretrainedmodel to init

* style

* Update test_modeling_glm.py

* Move config outside modular to please CI about docstrings

* Add dummies to please CI

* Update glm.md

* Update glm.md

docs/source/en/index.md

@@ -150,6 +150,7 @@ Flax), PyTorch, and/or TensorFlow.
 |                         [Gemma](model_doc/gemma)                         |       ✅        |         ❌         |      ✅      |
 |                        [Gemma2](model_doc/gemma2)                        |       ✅        |         ❌         |      ❌      |
 |                           [GIT](model_doc/git)                           |       ✅        |         ❌         |      ❌      |
+|                           [GLM](model_doc/glm)                           |       ✅        |         ❌         |      ❌      |
 |                          [GLPN](model_doc/glpn)                          |       ✅        |         ❌         |      ❌      |
 |                       [GPT Neo](model_doc/gpt_neo)                       |       ✅        |         ❌         |      ✅      |
 |                      [GPT NeoX](model_doc/gpt_neox)                      |       ✅        |         ❌         |      ❌      |