base_model: meta-llama/Llama-3.2-3B model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer plugins: - axolotl.integrations.liger.LigerPlugin liger_rope: true liger_rms_norm: true liger_swiglu: true liger_fused_linear_cross_entropy: true load_in_8bit: false load_in_3bit: false strict: false datasets: - path: NewEden/Gryphe-Sonnet3.5-Charcard-Roleplay-unfiltered type: sharegpt conversation: llama3 - path: Gryphe/ChatGPT-4o-Writing-Prompts type: sharegpt conversation: llama3 - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned type: sharegpt conversation: llama3 - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned type: sharegpt conversation: llama3 - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset type: sharegpt conversation: llama3 - path: anthracite-org/kalo_opus_misc_240827 type: sharegpt conversation: llama3 - path: anthracite-org/kalo_misc_part2 type: sharegpt conversation: llama3 - path: NewEden/Claude-Instruct-5K type: sharegpt conversation: llama3 - path: anthracite-org/kalo-opus-instruct-22k-no-refusal type: sharegpt conversation: llama3 chat_template: llama3 shuffle_merged_datasets: true #default_system_message: "You are an assistant that responds to the user." dataset_prepared_path: ./holland-3b-data val_set_size: 0.0 output_dir: ./3b-fft-out sequence_len: 32768 sample_packing: true pad_to_sequence_len: true wandb_project: Holland-Mag-3B-LLama wandb_entity: wandb_watch: wandb_name: attempt-llama3-01 wandb_log_model: gradient_accumulation_steps: 8 micro_batch_size: 4 num_epochs: 2 optimizer: adamw_bnb_8bit lr_scheduler: cosine learning_rate: 0.000005 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 warmup_steps: 10 evals_per_epoch: eval_table_size: eval_max_new_tokens: saves_per_epoch: 2 debug: deepspeed: weight_decay: 0.01 fsdp: fsdp_config: special_tokens: pad_token: <|finetune_right_pad_id|>