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richardwang930101/co
co is a machine learning model from richardwang930101. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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 net…
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From the Hugging Face model README
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.
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:
Contributions are welcome. Please open an issue first to discuss significant changes.
See LICENSE for details.