SynLogic

by Minimax AI

About the model:

SynLogic, a Qwen-based model trained on a novel dataset.

Model type:

Text

Model performance class:

Latest

Link to the model:

https://huggingface.co/MiniMaxAI/SynLogic-32B

Base models:

SynLogic-32B

End model:

Qwen2.5-32B

End model license:

MIT License

About the organisation:

Chinese artificial intelligence company.

Link to the organisation:

https://www.minimaxi.com/en

Model release date:

May 2025

Availability

Base Model Data

Pretraining data not specified or documented.

End User Model Data

Dataset published on HuggingFace.

https://huggingface.co/datasets/MiniMaxAI/SynLogic

Base Model Weights

Model weights made available on HuggingFace.

https://huggingface.co/Qwen/Qwen2.5-32B

End User Model Weights

Model weights made available on HuggingFace.

https://huggingface.co/MiniMaxAI/SynLogic-32B

Training Code

Base model repository provides sparse source code and some examples for SFT. End model trained using Verl framework.

https://github.com/QwenLM https://github.com/volcengine/verl

Documentation

Code Documentation

Both repositories are fairly well-documented.

https://github.com/QwenLM https://github.com/MiniMax-AI/SynLogic/blob/main/docs/training_guidance.md

Hardware Architecture

Hardware architecture not described in detail.

Preprint

Preprints published on arXiv.

https://arxiv.org/abs/2505.09388 https://arxiv.org/pdf/2505.19641

Paper

No peer-reviewed paper found.

Modelcard

Model card primarily contains usage instructions.

https://huggingface.co/MiniMaxAI/SynLogic-32B

Datasheet

Datasheet contains sparse info.

https://huggingface.co/datasets/MiniMaxAI/SynLogic

Access

Licenses

MIT License, an OSI-approved license.

https://huggingface.co/MiniMaxAI/SynLogic-32B

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