* Add Doge Model
* Fix code quality
* Rollback an error commit
* Fix config for open-source weights
* Revert "Fix config for open-source weights"
This reverts commit 229cdcac10a6a4274d1dd13b729bc14c98eb0c76.
* Add modular_doge
* Update Doge inherits from Llama
* Fix import bug
* [docs] Add usage of doge model
* Fix Doge import pretrainedconfig from modeling_utils to configuration_utils
* [docs] remove trust remote code from doge
* Fix dynamo bug in doge model
* Update docstrings
* Import apply_rotary_pos_emb and repeat_kv from Llama
* Fix all nits
* Fix code quality
* Fix some bugs
* Fix code quality
* Remove inherited `_update_causal_mask` from Llama
This leads to incorrect weight initialization.
* Fix the wrong tensor orderings in DogeCDMoE
* Fix attention mask bug
We have to provide attention_mask for dynamic mask computation
* Modify most implementations to inherit from Llama
But there are two problems:
1. `flex_attention_forward` is not updated properly
2. `Example` error in the forward method of DogeForCausalLM
* Modify CDMoE for batch efficient implementation
* Uniform MoE configuration names, just like QwenMoE
* Fix code quality
* Fix code quality
* Fix code quality
* Add tp plan of CDMoE Module
* Hybird DMA with sliding window
* Update valid tokens greater than window size
* Fix code quality
* Add `convert_doge_weights_to_hf`
* Fix STATE_DICT_MAPPING in convert_doge_weights_to_hf.py
* Fix nits in modular_doge
* Fix code quality
* Fix all nits
* Fix all nits
* Make sure the attention function is updated inside the class
* Fix code quality issues in the Doge model and add a test for it
* Fix `test_generate`
* Fix code quality
* Fix nits fllowing suggestions
* Fix code quality
* Fix code quality issues
* Fix nits
* Fix code quality nits
* Fix the missing parameters in the configuration.
* Fix the missing parameters in the configuration.
* Fix nits
* Add initialization of attention
* Fix last nits
* Simplify dynamic mask generation logic
* Rename router_logits to gate_logits for matching latest changes of MixtralModel
* Rename typings for matching latest changes of MixtralModel
* Fixes typo in comment
* Update src/transformers/models/doge/modular_doge.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Fix code quality issues to match other modular
* Fix code quality issues to match other modular
* Fix the static compilation errors
* Update model weights link
* Fix code quality issues to match other modular
* reapply modular and support for new outputs
* style
* simplify a lot
* fix import location
* reapply modular
* fix
* fix integration test
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Cyril Vallez <cyril.vallez@huggingface.co>
Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com>
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