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--- |
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license: apache-2.0 |
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datasets: |
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- jeiku/Writing |
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- FourOhFour/RP_Phase |
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- anthracite-core/full-opus-chosen-hermes-rejected-kto-v1 |
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language: |
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- en |
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base_model: |
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- IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml |
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--- |
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## Aura-MoE-2x4B-v2 |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/zyGqa-iH77dgU9D8WvoXY.png) |
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## Introduction |
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**Aura-MoE-2x4B-v2** is a state of the art dedicated roleplaying model designed to fulfill your every desire. |
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The finetunes used in this merge saw several hundreds of millions of tokens of instruction data. The merge was then healed on 150 million tokens of roleplaying data. A Kahneman-Tversky Optimization was applied to the healed model to give it a unique output style. |
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By the numbers, this should be a direct improvement over **[Aura-MoE-2x4B](https://huggingface.co/AuraIndustries/Aura-MoE-2x4B)** |
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Developed by **Aura Industries**, with contributions from **Anthracite Org** |
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## Model Details |
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- **Model Name**: Aura-MoE-2x4B-v2 |
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- **Base Model**: [IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml](https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml) |
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- **Model Type**: Chat Completions |
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- **Prompt Format**: ChatML |
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- **License**: Apache-2.0 |
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- **Language**: English |
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- **Max Context**: 8,192+ tokens |
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## License |
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This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). |
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## Quantizations |
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[Static GGUF](https://huggingface.co/mradermacher/Aura-MoE-2x4B-v2-GGUF) |
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[Imatrix GGUF](https://huggingface.co/mradermacher/Aura-MoE-2x4B-v2-i1-GGUF) |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Coming soon... |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. | N/A| |
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|IFEval (0-Shot) | N/A| |
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|BBH (3-Shot) | N/A| |
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|MATH Lvl 5 (4-Shot)| N/A| |
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|GPQA (0-shot) | N/A| |
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|MuSR (0-shot) | N/A| |
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|MMLU-PRO (5-shot) | N/A| |
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## Training Configuration |
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<details><summary>Click here for Mergekit and Axolotl configs</summary> |
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MoE Merge |
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```yaml |
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base_model: FourOhFour/Zenith_4B |
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gate_mode: random |
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dtype: bfloat16 |
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experts_per_token: 1 |
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experts: |
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- source_model: FourOhFour/Luxe_4B |
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- source_model: FourOhFour/Zenith_4B |
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``` |
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SFT |
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```yaml |
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base_model: jeiku/MoEv2 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: FourOhFour/RP_Phase |
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type: chat_template |
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chat_template: chatml |
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roles_to_train: ["gpt"] |
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field_messages: conversations |
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message_field_role: from |
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message_field_content: value |
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train_on_eos: turn |
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- path: jeiku/Writing |
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type: completion |
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field: text |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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dataset_prepared_path: |
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val_set_size: 0.01 |
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output_dir: ./output/out |
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hub_model_id: jeiku/Aura-MoEv2 |
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hub_strategy: "all_checkpoints" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: |
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wandb_project: Aura-MoEv2 |
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wandb_entity: |
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wandb_watch: |
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wandb_name: Aura-MoEv2 |
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wandb_log_model: |
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gradient_accumulation_steps: 16 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00005 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 2 |
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eval_table_size: |
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eval_max_new_tokens: |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.05 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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``` |
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KTO |
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```yaml |
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base_model: jeiku/Aura-MoEv2 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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hub_model_id: jeiku/moekto |
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hub_strategy: "all_checkpoints" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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chat_template: chatml |
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rl: kto |
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rl_beta: 0.2 |
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kto_desirable_weight: 0.2 |
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datasets: |
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- path: anthracite-core/full-opus-chosen-hermes-rejected-kto-v1 |
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type: chatml.argilla |
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shuffle_merged_datasets: true |
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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: false |
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eval_sample_packing: false |
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pad_to_sequence_len: false |
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wandb_project: moekto |
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wandb_entity: |
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wandb_watch: |
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wandb_name: moekto |
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wandb_log_model: |
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gradient_accumulation_steps: 16 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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max_steps: 500 |
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optimizer: adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00001 |
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weight_decay: 0.05 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: true |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: true |
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remove_unused_columns: false |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 2 |
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eval_table_size: |
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eval_max_new_tokens: |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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fsdp: |
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fsdp_config: |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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``` |
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</details><br> |