🔮 MetRex

A Benchmark for Verilog Code Metric Reasoning Using LLMs

Overivew

MetRex contains 25,868 Verilog modules along with their post-synthesis metrics (area, delay, static power) explained in natural language format. The synthesis results are obtained using Yosys and the Skywater 130nm PDK.

🤗 MetRex

Dataset

Download MetRex directly from HuggingFace.

# pip install datasets
from datasets import load_dataset

ds = load_dataset("scale-lab/MetRex", split="train")
print(next(iter(ds)))

MetRex contains detailed natural language instructions on computing area/delay/static power metrics of verilog designs.

• Check README.md for utility scripts used for cleaning the dataset.
• Check README.md for utility scripts used for synthesizing the designs and creating the natural language instructions from the synthesis results.

Running Instructions

First install dependencies:

• torch
• unsloth

pip install -r requirements.txt

Supervised Finetuning

We use QLoRA for a faster and memory efficient finetuning. The finetuning configurations are specified with a YAML file as specified here.

python -m model.sft --config <path-to-yaml-config> --metric <area/delay/power>

For exmaple to finetune Llama3-8b-Instruct with unsloth for faster finetunning, run the following:

python -m model.sft --config config/experiments/llama3_r64.yaml --use_sloth --metric area 

Inference

You can access the finetuned LoRA adapters from HF directly to run inference:

python -m model.eval --metric <metric-area/delay/power> --temperature 0.4 --config config/experiments/llama3_r128.yaml --adapter <adapter-hf-name> --eval eval/eval.json --output_dir . > logs/eval.log  2>&1 &

For exammple to run area, use:

python -m model.eval --metric area --temperature 0.4 --config config/experiments/llama3_r128.yaml --adapter scale-lab/Llama3-MetRex-Area-8b --eval eval/eval.json --output_dir . > logs/eval_area.log  2>&1 &

Or use your own finetuned adapters:

python -m model.eval --metric <metric-area/delay/power> --temperature 0.4 --config config/experiments/llama3_r128.yaml --adapter <path-to-checkpoint> --eval eval/eval.json --output_dir . > logs/eval.log  2>&1 &

Citation

@INPROCEEDINGS{abdelatty2025metrex,
    author={M. {Abdelatty} and J. {Ma} and S. {Reda}},
     booktitle={2025 30th Asia and South Pacific Design Automation Conference (ASP-DAC)},
     title={MetRex: A Benchmark for Verilog Code Metric Reasoning Using LLMs},
     year={2025},
     volume={},
     number={},
}

License

BSD 3-Clause License. See LICENSE file