# burn_dragon 🔥🐉
`burn_dragon` is the dragon model + training workspace.
it pairs the dragon model stack with [`burn_p2p`](https://github.com/aberration-technology/burn_p2p) for native + browser p2p training, deployment, and live network operation.
the model shape follows the [dragon hatchling / bdh paper](https://arxiv.org/abs/2509.26507).
## what is here
- `crates/burn_dragon_core`: core model, state, and config
- `crates/burn_dragon_language`: language training + inference adapters
- `crates/burn_dragon_p2p`: p2p runtime, browser ui, deployment, and integration tests
- `xtask`: build, smoke, deploy, and release helpers
## common paths
- model + language code: [crates/burn_dragon_core](crates/burn_dragon_core), [crates/burn_dragon_language](crates/burn_dragon_language)
- p2p + deployment: [crates/burn_dragon_p2p](crates/burn_dragon_p2p), [crates/burn_dragon_p2p/deploy/README.md](crates/burn_dragon_p2p/deploy/README.md)
- protocol/runtime layer: [`burn_p2p`](https://github.com/aberration-technology/burn_p2p)
## quick start
```bash
cargo run -p xtask -- local-browser-e2e
cargo run -p xtask -- smoke
cargo run -p xtask -- deploy-check
```
Use `local-browser-e2e` as the first browser/p2p production-parity gate. It runs
the deployment config drift checks, a local edge/auth/browser training receipt
e2e, and the smallest real Chrome/WebGPU browser training smoke without forcing
the full CI build matrix.