Safetensors
GGUF
English
chain-of-thought
step-by-step-reasoning
systematic-research-planning
academic-assistant
thesis-planning
dissertation-planning
research-question-formulation
literature-review-planning
methodology-design
experimental-design
hypothesis-generation
research-proposal-helper
cross-disciplinary-research
student-research-assistant
phd-support
research-gap-analysis
literature-analysis
research-summarization
structured-output
systematic-analysis
problem-decomposition
actionable-planning
scientific-research
social-science-research
engineering-research
humanities-research
ai-research-assistant
research-automation
Research-Reasoner-7B-v0.3
Research-Reasoner-7B
Research-Reasoner
conversational
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license: cc-by-4.0
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Research-Reasoner: AI-Powered Research Planning Assistant
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Research-Reasoner is a specialized AI model designed to help researchers systematically plan and structure research projects. Built on top of Mistral 7B Instruct v0.3, this model has been fine-tuned with LoRA (Low-Rank Adaptation) to excel specifically at breaking down research topics into comprehensive, actionable research plans.
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How It Works
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A user inputs a research title, question, or project idea
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The model processes this input using chain-of-thought reasoning
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The model then outputs a structured, actionable research plan
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Who Can Benefit
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Early career researchers and graduate students who need guidance in structuring comprehensive research plans
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Established researchers exploring new domains outside their primary expertise
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Research proposal writers preparing grant applications
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Interdisciplinary teams who need to develop shared understanding across different fields
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Academic advisors and mentors who could use this as a teaching tool
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Research administrators evaluating proposed research plans
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Citizen scientists and independent researchers without formal training in methodology
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Corporate R&D teams exploring new research directions
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