LLM2026_DPO_SFT19_v11

This model is a LoRA adapter evolved from the highly intelligent SFT model makotonlo/LLM2026_SFT_finalv19_7B. It has been fine-tuned using Direct Preference Optimization (DPO) to eliminate conversational chatter and enforce strict raw data output.

🎯 Optimization Goal (Strict No-Preamble)

The primary objective of this version is to ensure the model outputs ONLY raw data (JSON, XML, YAML, CSV) without any preambles, markdown backticks (```), or explanations, to comply with strict competition rules.

🛠 Training Configuration

• Base Intelligence: makotonlo/LLM2026_SFT_finalv19_7B (v19)
• Method: DPO (Direct Preference Optimization)
• Learning Rate: 5e-06 (Low LR to preserve structured logic)
• Beta: 0.1 (Strong penalty for conversational responses)
• Max Steps: 500
• LoRA Config: r=64, alpha=64

⚠️ Important: Usage Note

When using this model, please use the same strict prompt template used during training to ensure the output starts directly with {, [, or <.

Framework versions

• PEFT 0.13.2