Transformers
Safetensors
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  # Acknowledgments
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- [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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- [Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
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- [LinkedIn Job Postings 2023](https://www.kaggle.com/datasets/arshkon/linkedin-job-postings)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Acknowledgments
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+ Base Model: [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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+ Synthetic Data Generation Model: [Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
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+ Original Dataset: [LinkedIn Job Postings 2023](https://www.kaggle.com/datasets/arshkon/linkedin-job-postings)
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+ Comparison Model 1: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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+ Comparision Model 2: [deepseek-ai/DeepSeek-R1-0528-Qwen3-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B)
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+ Benchmark 1: [HumanEval](https://github.com/openai/human-eval) and [HumanEval Article](https://arxiv.org/abs/1806.03822)
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+ Benchmark 2: [SQuADv2](https://rajpurkar.github.io/SQuAD-explorer/) and [SQuAD Article](https://arxiv.org/abs/1806.03822)
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+ Benchmark 3: [E2E NLG Challenge](https://github.com/tuetschek/e2e-dataset) and [E2E NLG Challenge Article](https://arxiv.org/abs/1706.09254)
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