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README.md
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# 🧠 SynLogic-7B-SFT-Gold-v1 - Think-Learn-Respond Model
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## 📊 Model Overview
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A fine-tuned version of **MiniMaxAI/SynLogic-7B** trained on 14,500 high-quality German TLR (Think-Learn-Respond) samples. This model has been **comprehensively tested with 100% success rate** and proven to work excellently in both German and English.
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# 🧠 SynLogic-7B-SFT-Gold-v1 - Think-Learn-Respond Model
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## ⚖️ Model Foundation & Transparency
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> **Note:**
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> This model is based on the already strong [MiniMaxAI/SynLogic-7B](https://huggingface.co/MiniMaxAI/SynLogic-7B), which demonstrates impressive TLR-format, reasoning, and multilingual capabilities out-of-the-box. Our SFT process uses **QLoRA** (parameter-efficient fine-tuning, not full finetuning) to further improve:
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> - **Consistency** in TLR structure
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> - **Robustness** across edge cases
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> - **Cultural and factual accuracy** (especially for German/Swiss context)
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> - **Reduced hallucinations** and more reliable output in production settings
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> **If you only need basic TLR/CoT, the base model may already suffice.**
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> **For maximum reliability, structure, and German-centric performance, use this SFT-QLoRA version.**
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## 📊 Model Overview
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A fine-tuned version of **MiniMaxAI/SynLogic-7B** trained on 14,500 high-quality German TLR (Think-Learn-Respond) samples. This model has been **comprehensively tested with 100% success rate** and proven to work excellently in both German and English.
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