//! # Albert-1B Model Definition
//! 
//! Architecture definition for the 1B+ parameter ternary MoE model.
//! Scaling (Phase 2): 32 layers, 64 expert domains, ternary manifold embedding.

use crate::core::model_adapter::embedding::TernaryEmbedding;
use crate::core::router::DifferentiableRouter;

pub struct Albert1B {
    pub layers: usize,
    pub embedding: TernaryEmbedding,
    pub router: DifferentiableRouter,
}

impl Albert1B {
    pub fn new() -> Self {
        Self {
            layers: 32,
            embedding: TernaryEmbedding::new(50257, 2048),
            router: DifferentiableRouter::new(2048, 64, 0.5), // Top-2 Routing auxiliary threshold
        }
    }

    /// Initializes the model weights on the ternary manifold {-1, 0, 1}.
    pub fn initialize_weights(&self) -> Vec<i8> {
        // Based on layers and embedding dimensions
        vec![0; self.layers * self.embedding.dim * 64]
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_albert_1b_architecture() {
        let model = Albert1B::new();
        assert_eq!(model.layers, 32);
        // Verify expanded expert count
        assert_eq!(model.router.num_experts, 64);
    }
}
