---
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> &ensp;
  <a href="https://github.com/wyt2000/CodeV-SVA"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=blue"></a> &ensp;
</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}, 
}
```