DBRX Model Support (#1462)

* wip for dbrx finetuning

* add fastcore for parallel loading of sharded weights

* fix dtype for load, use PartialState instead of accelerator to init process group, remove redundant wandb callback

* update to use v2 of the converted model

* more fixes for dbrx loras

* make sure to enable fsdp activation checkpointing

* fix support for 8bit loras too for dbrx

* apply z3 leaf moe fix for DBRX with deepspeed

* don't raise value error since child module searches could fail and be ok

* revert a previous change to fix fsdp

* update mistral/mistral qlora+fsdp yamls

* fix qlora+fsdp quant storage type

* more edge cases for qlora-fsdp

* fixes for fsdp+qlora w optimizer in 8bit

* add bigstral z3 config and make sure to use full_state_dict for fsdp

examples/mistral/bigstral-ds-zero3.yaml

@@ -0,0 +1,63 @@
+base_model: mistral-community/Mixtral-8x22B-v0.1
+model_type: AutoModelForCausalLM
+tokenizer_type: LlamaTokenizer
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+unfrozen_parameters:
+  - ^lm_head.weight$
+  - ^model.embed_tokens.weight$
+  - model.layers.4[4-9]+.block_sparse_moe.gate
+  - model.layers.4[4-9]+.block_sparse_moe.experts
+  - model.layers.5[0-5]+.block_sparse_moe.gate
+  - model.layers.5[0-5]+.block_sparse_moe.experts
+
+model_config:
+  output_router_logits: true
+
+datasets:
+  - path: tatsu-lab/alpaca
+    type: alpaca
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./out
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0001
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+save_total_limit: 1
+save_steps:
+debug:
+deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+tokens:
+  - "<|im_start|>"