LLM2026_DPO_SFT19_v13 (Silent Expert Version)
This model is a LoRA adapter evolved from the highly intelligent SFT model makotonlo/LLM2026_SFT_finalv19_7B (v19). 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 (e.g., "Certainly!"), 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
- 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 ChatML prompt template. The model is trained to ensure the output starts directly with {, [, or <.
Framework versions
- PEFT 0.13.2
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Model tree for makotonlo/LLM2026_DPO_SFT19_v13
Base model
Qwen/Qwen2.5-7B Finetuned
Qwen/Qwen2.5-7B-Instruct Quantized
unsloth/Qwen2.5-7B-Instruct-bnb-4bit