τemplar
Subnet ID: 3
Coldkey:5G26HqQg8M6hfw9q84gM3udYHHymThmswRKgSGtwdcduBSos
τemplar is a decentralized training framework enabling large-scale AI model training across heterogeneous compute resources over the internet. By connecting diverse computational nodes through carefully designed incentive mechanisms, it makes collaborative model training possible while ensuring honest participation. The system coordinates miners who train on data subsets with validators who evaluate contribution quality and assign rewards accordingly.
This subnet is currently safe from deregistration.
Yuma Pulse™
Arcana
Arcana is a specialized AI assistant—a tailored version of ChatGPT—designed to support users working with Templar, a framework for decentralized, permissionless training of large language models (LLMs). It serves as an expert guide for understanding the Gauntlet incentive mechanism, distributed training protocols, and blockchain coordination systems underpinning Templar.
Decentralized Training
Large-scale model training across heterogeneous internet compute resources with fair participation
Incentive-Driven
Reward system encouraging quality contributions with built-in mechanisms preventing gaming
Gradient Compression
DCT-based top-k compression for efficient gradient sharing and reduced communication overhead
Synchronized Windows
Coordinated training cycles where miners and validators work in sync guided by blockchain blocks