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base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16 |
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model_type: Llama4ForConditionalGeneration |
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strict: false |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_glu_activation: true |
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liger_rms_norm: true |
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liger_layer_norm: true |
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llama4_linearized_experts: true |
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load_in_4bit: true |
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adapter: qlora |
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lora_r: 32 |
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lora_alpha: 64 |
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lora_target_modules: |
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- self_attn.q_proj |
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- self_attn.k_proj |
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- self_attn.v_proj |
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- self_attn.o_proj |
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- shared_expert.gate_proj |
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- shared_expert.up_proj |
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- shared_expert.down_proj |
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lora_modules_to_save: |
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chat_template: llama4 |
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datasets: |
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- path: mlabonne/FineTome-100k |
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type: chat_template |
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split: train[:20%] |
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field_messages: conversations |
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message_property_mappings: |
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role: from |
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content: value |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.0 |
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output_dir: ./outputs/out |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: adamw_torch_fused |
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lr_scheduler: cosine |
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learning_rate: 1e-4 |
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bf16: true |
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tf32: true |
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logging_steps: 1 |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 1 |
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saves_per_epoch: 1 |
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weight_decay: 0.0 |
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fsdp: |
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- auto_wrap |
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- full_shard |
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fsdp_config: |
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fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer |
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fsdp_limit_all_gathers: true |
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fsdp_sync_module_states: true |
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fsdp_offload_params: true |
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fsdp_use_orig_params: false |
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fsdp_cpu_ram_efficient_loading: true |
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
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fsdp_state_dict_type: FULL_STATE_DICT |
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fsdp_sharding_strategy: FULL_SHARD |
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fsdp_activation_checkpointing: true |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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eos_token: <|eot|> |
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