---
datasets:
- k10shetty/resume-skill-extractor-dataset
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- text-generation
- fine-tuning
- llama-3
- nlp
- resume-parsing
- job-description
license: llama3
language:
- en
---

# 🚀 Resume Skill Extractor (Llama 3 8B)

## Model Overview
This is a fully merged, standalone 8-Billion parameter language model specifically fine-tuned to act as an expert technical recruiter. It takes raw, unstructured job descriptions and instantly extracts a concise summary along with a cleanly formatted, bulleted list of mandatory and bonus technical skills.

This model was created by fine-tuning `Meta-Llama-3-8B-Instruct` using QLoRA, and the resulting adapters have been permanently merged into the base weights for simplified deployment and serverless inference.

* **Base Model:** Meta-Llama-3-8B-Instruct
* **Original LoRA Adapters:** [k10shetty/resume-skill-extractor-lora](https://huggingface.co/k10shetty/resume-skill-extractor-lora)
* **Task:** Information Extraction / Text Generation
* **Architecture:** LlamaForCausalLM (16-bit bfloat16)

## Prompt Format
This model retains the standard Llama 3 Instruct prompt format. To get the best results, you **must** use this exact structure:

```text
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert technical recruiter. Analyze job descriptions and extract key information.<|eot_id|>
<|start_header_id|>user<|end_header_id|>
Analyze this job description and provide a summary, the required skills, and the bonus/nice-to-have skills:

[INSERT JOB DESCRIPTION HERE]<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>