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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: NousResearch/Hermes-4-Qwen3-14B-1-e3
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - Nous-Research-Core/greetings-longcot
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+ - NousResearch/Multiturn_thinking
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+ - NousResearch/h4_10710_subset
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+ - Nous-Research-Core/identity_v1
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+ - NousResearch/h4-nonreasoning-3k
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+ - NousResearch/h4-14b-30k-masked-2025-08-18
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+ - NousResearch/swe-subset-3k
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+ model-index:
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+ - name: home/hjcpuro/axolotl/models/h4-qwen3-14b-e3-overlong-masked-30k-2025-08-26-template-more-stage1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.12.0.dev0`
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+ ```yaml
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+ base_model: NousResearch/Hermes-4-Qwen3-14B-1-e3
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+ chat_template: jinja
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+ chat_template_jinja: /home/hjcpuro/h4-14b.jinja
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+ #dataset_processes: 60
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+ pad_to_sequence_len: true
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+
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+ datasets:
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+ - path: Nous-Research-Core/greetings-longcot
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+ type: chat_template
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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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+ roles:
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+ tool: ['tool']
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+ user: ["human"]
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+ assistant: ["gpt"]
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+ system: ["system"]
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+ - path: NousResearch/Multiturn_thinking
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+ type: chat_template
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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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+ roles:
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+ tool: ['tool']
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+ user: ["human"]
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+ assistant: ["gpt"]
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+ system: ["system"]
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+ - path: NousResearch/h4_10710_subset
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+ type: chat_template
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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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+ roles:
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+ tool: ['tool']
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+ user: ["human"]
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+ assistant: ["gpt"]
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+ system: ["system"]
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+ - path: Nous-Research-Core/identity_v1
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+ type: chat_template
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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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+ roles:
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+ tool: ['tool']
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+ user: ["human"]
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+ assistant: ["gpt"]
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+ system: ["system"]
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+ - path: NousResearch/h4-nonreasoning-3k
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+ type: chat_template
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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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+ roles:
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+ tool: ['tool']
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+ user: ["human"]
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+ assistant: ["gpt"]
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+ system: ["system"]
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+ - path: NousResearch/h4-14b-30k-masked-2025-08-18
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+ type: chat_template
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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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+ roles_to_train: []
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+ train_on_eos: null
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+ message_field_training: train
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+ message_field_training_detail: train_detail
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+ - path: NousResearch/swe-subset-3k
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+ type: chat_template
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+ chat_template: tokenizer_default
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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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+ roles_to_train: []
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+ train_on_eos: turn
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+ message_field_training: train
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+ message_field_training_detail: train_detail
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+
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+ dataset_prepared_path: /home/hjcpuro/axolotl/datasets/h4-qwen3-14b-e3-overlong-masked-30k-2025-08-26-template-more-stage1
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+ val_set_size: 0.0
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+ output_dir: /home/hjcpuro/axolotl/models/h4-qwen3-14b-e3-overlong-masked-30k-2025-08-26-template-more-stage1
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+
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+ wandb_project: h4-overlong
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+ wandb_entity: nous_research
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+ wandb_name: h4-qwen-14b-e3-overlong-masked-30k-2025-08-26-template-more-stage1
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+
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+ sequence_len: 32768
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+ sample_packing: true
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+
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+ gradient_accumulation_steps: 1
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+ micro_batch_size: 4
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+ num_epochs: 1
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 5e-6
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: true
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+ fp16: false
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+ tf32: false
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+
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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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+ auto_resume_from_checkpoints: false
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+ warmup_steps: 80
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+ saves_per_epoch: 1
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+ save_total_limit: 1
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+ debug:
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+ deepspeed: /home/hjcpuro/data/data/code/swe-agent/axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ # special_tokens:
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+ # eos_token: <|eot_id|>
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+ # pad_token: <|end_of_text|>
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_glu_activation: true
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+ liger_fused_linear_cross_entropy: true
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+
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+
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+ ```
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+
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+ </details><br>
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+
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+ # home/hjcpuro/axolotl/models/h4-qwen3-14b-e3-overlong-masked-30k-2025-08-26-template-more-stage1
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+
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+ This model is a fine-tuned version of [NousResearch/Hermes-4-Qwen3-14B-1-e3](https://huggingface.co/NousResearch/Hermes-4-Qwen3-14B-1-e3) on the Nous-Research-Core/greetings-longcot, the NousResearch/Multiturn_thinking, the NousResearch/h4_10710_subset, the Nous-Research-Core/identity_v1, the NousResearch/h4-nonreasoning-3k, the NousResearch/h4-14b-30k-masked-2025-08-18 and the NousResearch/swe-subset-3k datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 80
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+ - training_steps: 201
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.54.0
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+ - Pytorch 2.7.1+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.2
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+ {%- set thinking_prompt = 'You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside <think> </think> tags, and then provide your solution or response to the problem.' %}
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+ {%- set standard_prompt = 'You are Hermes, created by Nous Research.' %}
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+ {%- if not thinking is defined %}{% set thinking = false %}{% endif %}
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+ {%- if not keep_cots is defined %}{% set keep_cots = false %}{% endif %}
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+ {%- if thinking %}{%- set system_prompt = thinking_prompt %}{%- else %}{%- set system_prompt = standard_prompt %}{%- endif %}
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- messages[0]['content'] }}
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+ {%- else %}
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+ {{- system_prompt }}
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+ {%- endif %}
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+ {{- "\n\n# Tools\n\nYou are a function calling AI model. You may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": \"<function-name>\", \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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+ {%- else %}
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+ {{- '<|im_start|>system\n' + system_prompt + '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- elif (message.role == "assistant" and not message.tool_calls) %}
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+ {{- '<|im_start|>' + message.role }}
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+ {%- if message.content %}
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+ {%- set content = message['content'] -%}
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+ {%- if thinking %}
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+ {%- if not keep_cots %}
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+ {%- set content = '<think> </think>' + content.split('</think>', 1)[1] -%}
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+ {%- endif %}
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+ {%- endif %}
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+ {{- '\n' + content + '<|im_end|>' + '\n' }}
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+ {%- endif %}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role }}
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+ {%- if message.content %}
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+ {%- set content = message['content'] -%}
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+ {%- if thinking %}
45
+ {%- if not keep_cots %}
46
+ {%- set content = '<think> </think>' + content.split('</think>', 1)[1] -%}
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+ {%- endif %}
48
+ {%- endif %}
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+ {{- '\n' + content }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
54
+ {%- endif %}
55
+ {{- '\n<tool_call>\n{"name": "' }}
56
+ {{- tool_call.name }}
57
+ {{- '", "arguments": ' }}
58
+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
63
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
64
+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- message.content }}
68
+ {{- '\n</tool_response>' }}
69
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
70
+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
72
+ {%- endif %}
73
+ {%- endfor %}
74
+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
76
+ {%- endif %}
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+
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+ {
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+ "architectures": [
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+ "Qwen3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "max_position_embeddings": 40960,
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+ "max_window_layers": 40,
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+ "model_type": "qwen3",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-06,
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+ "vocab_size": 151936
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+ }
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