LLM2026_DPO_SFT19_v14 (Silent Expert Version)

This model is a LoRA adapter evolved from the high-performing SFT model makotonlo/LLM2026_SFT_finalv19_7B (v19). It has been fine-tuned using Direct Preference Optimization (DPO) with parameters inherited from the successful V7 configuration 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 (e.g., "Certainly!"), markdown backticks (```), or explanations.

🛠 Training Configuration (V7 Success Specs)

• Base Intelligence: makotonlo/LLM2026_SFT_finalv19_7B (v19)
• Method: DPO (Direct Preference Optimization)
• Learning Rate: 1e-05 (Stronger correction for 7B architecture)
• Beta: 0.5 (Maximum penalty for conversational fillers and formatting noise)
• Epochs: 3.0 (Thorough enforcement of the 'Silent' persona)
• LoRA Config: r=128 (inherited) + DPO tuning

⚠️ Important: Usage Note

When using this model, please use the ChatML prompt template. The model is optimized to start its response directly with characters like {, [, or <.

Framework versions

• PEFT 0.13.2
• Unsloth 2025.12.7