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README.md
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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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# Model Card: Resume Information Extractor (LLM-based)
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## Overview
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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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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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## Intended Uses
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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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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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# Input
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Here is the resume text:
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[PASTE RESUME TEXT HERE]
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### Response
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<think>
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