henryen/origen_dataset_instruction
OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection Introduction 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. OriGen_Fix is a fine-tuned lora model designed for fixing syntax errors in Verilog code. It is trained based on… See the full description on the dataset page: https://huggingface.co/datasets/henryen/origen_dataset_instruction.
| Author / organization | henryen |
|---|---|
| License (as declared) | gpl-3.0 |
| Downloads | 851 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 19 October 2024 |
| Last updated at source | 19 October 2024 |
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- 16 Oct 2026 Description: OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection Introduction OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated → OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection Introduction OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated
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