40 lines
1.6 KiB
Markdown
40 lines
1.6 KiB
Markdown
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---
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datasets:
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- k10shetty/resume-skill-extractor-dataset
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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library_name: transformers
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tags:
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- text-generation
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- fine-tuning
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- llama-3
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- nlp
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- resume-parsing
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- job-description
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license: llama3
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language:
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- en
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---
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# 🚀 Resume Skill Extractor (Llama 3 8B)
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## Model Overview
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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.
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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.
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* **Base Model:** Meta-Llama-3-8B-Instruct
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* **Original LoRA Adapters:** [k10shetty/resume-skill-extractor-lora](https://huggingface.co/k10shetty/resume-skill-extractor-lora)
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* **Task:** Information Extraction / Text Generation
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* **Architecture:** LlamaForCausalLM (16-bit bfloat16)
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## Prompt Format
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This model retains the standard Llama 3 Instruct prompt format. To get the best results, you **must** use this exact structure:
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```text
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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You are an expert technical recruiter. Analyze job descriptions and extract key information.<|eot_id|>
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<|start_header_id|>user<|end_header_id|>
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Analyze this job description and provide a summary, the required skills, and the bonus/nice-to-have skills:
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[INSERT JOB DESCRIPTION HERE]<|eot_id|>
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<|start_header_id|>assistant<|end_header_id|>
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