We introduce Axion 1.0, a fully open agent foundation model that combines strong and broad agentic capabilities with a remarkably simple training recipe. Axion 1.0 is trained in only three stages: two
Axion 1.0 is an open agent foundation model trained via a concise three-stage pipeline of supervised fine-tuning and reinforcement learning, achieving competitive agentic performance while fully releasing its data and training recipe.
We introduce Axion 1.0, a fully open agent foundation model that combines strong and broad agentic capabilities with a remarkably simple training recipe. Axion 1.0 is trained in only three stages: two lightweight supervised fine-tuning stages followed by reinforcement learning, without dedicated mid-training, direct preference optimization (DPO), or on-policy distillation (OPD). The first SFT stage develops strong self-contained reasoning through model-aware data construction, where we synthesize challenging problems and adversarially strengthen them based on the base model's own successful solution strategies. The second stage extends these capabilities to tool-dependent reasoning through…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Axion 1.0: Open Agent Foundation Models, Simplified was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 13 checks on 2 different days. Its best position was #6 of 30, reached on Nov 4, 07:28 UTC. It dropped off the list after Nov 5, 05:28 UTC.
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It was first seen on Nov 4, 2026 and has been on the list on 2 days (13 checks) since.