初始化项目，由ModelHub XC社区提供模型

Model: winglian/Llama-3-8b-64k-PoSE
Source: Original Platform

axolotl/pose.yaml

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+base_model: meta-llama/Meta-Llama-3-8B
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: togethercomputer/RedPajama-Data-1T-Sample
+    type: completion
+    split: train
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: ./llama-3-32k
+save_safetensors: true
+sequence_len: 8192
+sample_packing: false
+pad_to_sequence_len: false
+use_pose: true
+pose_max_context_len: 65536
+
+overrides_of_model_config:
+  rope_theta: 500000.0
+  max_position_embeddings: 65536
+
+  # peft_use_dora: true
+adapter: lora
+peft_use_rslora: true
+lora_model_dir:
+lora_r: 256
+lora_alpha: 256
+lora_dropout: 0.1
+lora_target_modules:
+  - q_proj
+  - k_proj
+  - v_proj
+  - o_proj
+
+wandb_project: llama-3-64k
+wandb_entity: oaaic
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00003
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+sdp_attention:
+s2_attention:
+
+warmup_steps: 10
+evals_per_epoch: 8
+saves_per_epoch: 8
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>