Steiner – An open-source reasoning model inspired by OpenAI o1
Steiner is a series of reasoning models trained on synthetic data using reinforcement learning. These models can explore multiple reasoning paths in an autoregressive manner during inference and autonomously verify or backtrack when necessary, enabling a linear traversal of the implicit search tree. Blog: https://medium.com/@peakji/a-small-step-towards-reproducing-... Hugging Face: https://huggingface.co/collections/peakji/steiner-preview-67...
In plain words
Steiner is an open-source series of reasoning models trained on synthetic data using reinforcement learning. The models explore multiple reasoning paths during inference and can autonomously verify or backtrack when necessary, enabling systematic traversal of reasoning trees. Designed for developers and researchers, Steiner aims to reproduce reasoning capabilities similar to advanced AI models through transparent, open-source methodology.
written from the facts on this page · September 2026
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