feat: add CCE for gemma3, cohere, and cohere2 (#2443)

* feat: add CCE for gemma3 and cohere1/2

* fix: change from relative import to absolute

* feat: add multipack for cohere&cohere2

* chore: improve comments

* fix: add gemma3_text

* feat: add cohere2 example

* fix: cohere forward

* fix: patch for cohere2

* feat: add command r v01 qlora sample

* chore: lint

* feat: upgrade gemma3 and gemma2 patch to use logits_to_keep

* chore: lint

* fix: add deprecate_kwarg decorator

* fix: add cce for gemma3 conditionalgeneration

* fix: gemma3 patch to defer logits calculation

* fix: patch gemma3 if given as model

* fix: remove not working config

* fix: update comments to clarify changes

* feat(doc): add supported models to readme

* fix: address difference in our cohere patch

* feat: add mistral3

* feat: add gemma

* feat(doc): update README to include gemma and mistral3 in supported models

* fix: gemma patch

* fix: import

* fix: gemma patch to be standalone

* fix: gemma3 warn about not support final_logit_softcapping

* feat: add mllama CCE

* chore: add abbireviation to doc

* fix: remove unneeded gemma3 eager warning

* fix: save processor if available

* fix: enable save processor on merge

* fix: wrong env meaning

examples/cohere/command-r-7b-qlora.yml

@@ -0,0 +1,71 @@
+base_model: CohereForAI/c4ai-command-r7b-12-2024
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+# huggingface repo
+chat_template: cohere
+datasets:
+  - path: cgato/SlimOrcaDedupCleaned
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: from
+      content: value
+
+val_set_size: 0.0
+output_dir: ./outputs/out
+
+adapter: qlora
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+
+sequence_len: 2048
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch:
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens: