metadata

base_model:
  - meta-llama/Meta-Llama-3-8B
datasets:
  - IgnoraZ/SynthQuestions
language:
  - en
license: cc-by-4.0
library_name: transformers
pipeline_tag: text-generation

Model Card for Model ID

This is the model from the paper From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding.

Model Details

Model Description

Model type: Chat Model
Language(s) (NLP): English
License: CC-BY-4.0
Finetuned from model: LLaMA-3-8B
Finetuned with data: 1M dataset from IgnoraZ/SynthQuestions

For more details like hyper-parameters, please refer to our paper.

Model Sources

Repository: https://github.com/Ignoramus0817/SynthQuestions
Paper: https://www.arxiv.org/abs/2506.03968

How to Get Started with the Model

This is a model in HF format, which can be deployed with common inference frameworks like Transformers, vLLM, SGLang and so on.

We finetuned it with custom chat template instead of the default one from LLaMA. Please make sure to use the chat template in the tokenizer_config.json when inferring.

Evaluation

Alignment Benchmarks

Model	Arena Hard (WR%)	Alpaca Eval 2.0 (LC)
SynthQuestions	15.4	18.87

Closed-form Benchmarks

Model	IFEVAL	MMLU	ARC-C	GPQA	GSM8K	MATH
SynthQuestions	57.05	65.79	63.92	30.3	70.53	22.71

Citation

@misc{zhu2025realsyntheticsynthesizingmillions,
      title={From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding}, 
      author={Chiwei Zhu and Benfeng Xu and Xiaorui Wang and Zhendong Mao},
      year={2025},
      eprint={2506.03968},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.03968}, 
}

Model Card Contact

Please contact [email protected].