ConnitoAI

sn102UnclassifiedClean12Strong entry77

No description set on the registered repo.

Connito-AI/Connito· pushed 2d ago reg. open

Emission

5.3

TAO / day · live

Alpha

0.0293

τ · mcap 29.1K

Top-slot payout

0.098

τ per winning epoch · live

Stars

live from the GitHub API

Primary language

Jupyter Notebook

repo-reported

Last push

2d ago

feeds the dormancy integrity signal

Topics

—

repo-declared tags

About the repo

what the project says about itself — the input for semantic labels

Connito-AI/Connito· pushed 2d ago

No description set on the repo.

Reading this tab

scope of the data

Taonets fetches the repo's public metadata (description, topics, language, stars, last push) and the head of its README. Commit-count histories, contributor lists and release notes require the GitHub commits/releases endpoints, which the worker doesn't consume yet — those panels are coming with the ingest upgrade and are not simulated in the meantime.

README head

first lines of the default branch README, unedited

# 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:

**[Connito AI](https://connito.ai/)**

- [Running Your Miner](https://connito.ai/docs/miner)
- [Running Your Validator](https://connito.ai/docs/validator)


## Contributing & License

Contributions are welcome. Please open an issue first to discuss significant changes.

See [LICENSE](LICENSE) for details.