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OpenMythos: Open-Source PyTorch Reconstruction of Claude Mythos—770M Parameters Punch Above Their Weight Against 1.3B Models

OpenMythos: Open-Source PyTorch Reconstruction of Claude Mythos—770M Parameters Punch Above Their Weight Against 1.3B Models

OpenMythos 來了:用 PyTorch 重建 Claude Mythos,770 億參數的小模型卻能打敗 13 億參數的大傢伙

Someone just reverse-engineered Claude's Mythos model and made it open-source. Here's the wild part: their smaller 770M parameter version actually performs like a 1.3B model. This is the kind of efficiency breakthrough that makes you wonder why we're throwing billions of parameters at problems when clever architecture design can do more with less. If you care about running powerful AI locally without needing a data center, this is worth paying attention to.