burn inference and training of dragon hatchling model

• cached inference
• training benchmarks and reporting
• adaptive tool discovery
• conditional (deep) gating
• document-coherent dataloading and scale mixup
• episodic memory
• fused kernels
• hierarchical, memory-aware recurrent state
• mixture-of-expert routing
• multi-modal architecture
• multi-stream truncated backpropagation through time
• neuromorphic backend
• rl reasoning training
• sparsity metrics and visualization
• streaming, sparse synaptic backpropagation
• temporal neuron dampening

Dataset configuration (built-in presets and Hugging Face examples) is documented inline in config/base.toml.

• cargo run --release (defaults to the cuda backend)

• cargo run --bin infer -- --max-tokens 2048 --streaming

• cargo bench (executes both wgpu and cuda benchmarks)
• open target/criterion/report/index.html

licensed under either of

• Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (http://opensource.org/licenses/MIT)

at your option.

unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.