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# OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
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# OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
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### Introduction
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OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated from code-to-code augmentation and self-reflection. The datasets can be found in the [origen_dataset_instruction](https://huggingface.co/datasets/henryen/origen_dataset_instruction).
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# OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
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### Introduction
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OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated from code-to-code augmentation and self-reflection. The datasets can be found in the [origen_dataset_instruction](https://huggingface.co/datasets/henryen/origen_dataset_instruction).
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