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+ ---
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+ license: apache-2.0
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+ tags:
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+ - text-generation
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+ - instruction-following
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+ - llm
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+ - resume-parsing
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+ - unsloth
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+ language:
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+ - en
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+ library_name: unsloth
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+ model_name: DeepSeek-R1-Distill-Llama-8B
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+ pipeline_tag: text2text-generation
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+ ---
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+
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+ # Model Card: Resume Information Extractor (LLM-based)
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+
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+ ## Overview
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+
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+ This model is a distilled, instruction-tuned version of the `DeepSeek-R1-Distill-Llama-8B` language model, optimized for extracting structured information from resumes in English. It was built using the [Unsloth](https://github.com/unslothai/unsloth) library for efficient fine-tuning and inference.
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+
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+ Given a raw resume text, the model outputs structured JSON containing:
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+ - `skills`: list of skills mentioned
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+ - `education`: simplified school-degree-major format
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+ - `experience`: list of job roles
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+
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+ ## Intended Uses
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+
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+ This model is designed for:
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+ - HR software to parse applicant resumes automatically
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+ - Applicant tracking systems (ATS)
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+ - AI assistants helping with recruiting and screening
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+ - EdTech or job board platforms classifying user profiles
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+
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+ Example Input Prompt:
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+ ```text
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+ You are an experienced HR and now you will review a resume then extract key information from it.
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+
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+ # Input
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+ Here is the resume text:
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+ [PASTE RESUME TEXT HERE]
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+
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+ ### Response
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+ <think>