| --- |
| language: |
| - en |
| base_model: Qwen/Qwen3.5-9B |
| tags: |
| - chat |
| library_name: transformers |
| license: apache-2.0 |
| --- |
| # CodeV-SVA-VL: Automated Hardware Assertion Generation from Natural Language Specifications and Waveform Diagrams |
|
|
| <div align="center"> |
| <a href="https://huggingface.co/wyt2000/CodeV-SVA-VL-27B"><img src="https://img.shields.io/static/v1?label=Model&message=HuggingFace&color=yellow"></a>   |
| <a href="https://github.com/wyt2000/CodeV-SVA"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=blue"></a>   |
| </div> |
|
|
| ## Introduction |
|
|
| We introduce CodeV-SVA-VL, a family of vision language models designed to translate natural-language verification properties and waveform diagrams into SystemVerilog Assertions (SVAs). |
|
|
| Open-Source Plan: |
|
|
| - Benchmark ✓ |
| - Model ✓ |
| - Evaluation code ✓ |
| - Paper |
| - Dataset ✓ |
| - Data synthesis and training code |
|
|
| This repository includes the NL-Waveform-SVA training data selected by bidirectional translation and equivalence verification. |
|
|
| - **CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-training.jsonl**: Textual training data. |
| - **CodeV-SVA-dataset-83K-sva2wavedrom-qwen3p6-plus-diagram-wave2sva-self-verified-pass-images.tar**: Waveform diagrams. |
|
|
|
|
| ## Citation |
|
|
| ```latex |
| @misc{wu2026qimengcodevsvatrainingspecializedllms, |
| title={QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data Synthesis}, |
| author={Yutong Wu and Chenrui Cao and Pengwei Jin and Di Huang and Rui Zhang and Xishan Zhang and Zidong Du and Qi Guo and Xing Hu}, |
| year={2026}, |
| eprint={2603.14239}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2603.14239}, |
| } |
| ``` |
|
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|
