--- language: en pipeline_tag: text-generation tags: - deepseek - deepseek-coder - peft - lora - qlora - trl - sft - mcq - education - docker - fastapi - python - rag license: other base_model: deepseek-ai/deepseek-coder-1.3b-instruct --- # DeepSeek MCQ Trainer (LoRA) — by Mohammed Sayeeduddin ## Model Details - **Model name:** `psdba/deepseek-mcq-trainer-mohammedsayeeduddin-lora` - **Developed by:** **Mohammed Sayeeduddin** - **Model type:** LoRA adapter (PEFT) fine-tuned for structured MCQ generation - **Base model:** `deepseek-ai/deepseek-coder-1.3b-instruct` - **Primary use:** Instructor-grade MCQ generation in **strict JSON** format for IT training - **Language(s):** English - **License:** This repository contains **LoRA adapter weights only**. Usage is subject to the license of the **base model** (`deepseek-ai/deepseek-coder-1.3b-instruct`). Please review and comply with that license before commercial or redistribution use. ## Model Description This is a **specialist training model** designed to generate multiple-choice questions (MCQs) in a strict, machine-readable JSON schema. The adapter was fine-tuned to produce: - 4 options (A/B/C/D) - exactly 1 correct answer - short explanation - JSON-only responses (no markdown, no extra commentary) ## Intended Use ### Direct Use - Corporate training MCQs (FastAPI, Docker/Linux, Python Core, LLM/RAG) - Classroom quizzes and practice tests - Building MCQ datasets for LMS/Excel ingestion ### Downstream Use - Integration into training platforms (MCQ generators, exam portals) - Dataset generation pipelines (JSON → CSV → LMS) ## Out-of-Scope Use - Medical / legal / financial advice - Open-domain chat or creative writing - High-stakes decisions without human validation ## Bias, Risks, and Limitations - MCQs may still contain imperfections or ambiguous distractors. - Always validate questions before real exams or certifications. - Model can hallucinate if prompts are unclear or request unsupported topics. ## How to Get Started ### Install ```bash pip install -U transformers peft accelerate