datasets, base_model, library_name, tags, license, language

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

<|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|>