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Check out the documentation for more information.
Subnet 102 — Distributed Mixture-of-Experts
Subnet 102 is a Bittensor subnet for collaborative, decentralized training of large language models using a Mixture-of-Experts (MoE) architecture. Rather than training a single monolithic model on one machine, the network splits the model into expert groups distributed across many independent miners. Validators coordinate the process, aggregate contributions, and score miners to drive TAO rewards.
Documentation
For the most up-to-date and comprehensive documentation, including architecture overviews, setup guides for validators and miners, and reward optimization, please visit our official website:
Contributing & License
Contributions are welcome. Please open an issue first to discuss significant changes.
See LICENSE for details.