{
    "model_type": "lam",
    "model_category": "LAM (Linear Attention Models) — SAID-LAM-v1: Linear Attention Memory",
    "architectures": [
        "LAM"
    ],
    "attention_mechanism": "Hierarchical DeltaNet (Linear Attention with Dual-State Memory)",
    "recall_engine": "SCA (Said Crystalline Attention)",
    "vocab_size": 30522,
    "hidden_size": 384,
    "num_hidden_layers": 6,
    "num_attention_heads": 12,
    "intermediate_size": 1536,
    "max_position_embeddings": 32768,
    "embedding_dim": 384,
    "n_parameters": 23848788,
    "memory_usage_mb": 90,
    "framework": "Candle",
    "runtime": "Pure Rust (no PyTorch dependency)",
    "distilled_from": "all-MiniLM-L6-v2",
    "distillation": true,
    "linear_attention": true,
    "hierarchical_deltanet": true,
    "dual_state_memory": true,
    "complexity": "O(n)",
    "license": "apache-2.0",
    "license_note": "Apache 2.0 for model weights; Proprietary for compiled software",
    "reference": "https://saidhome.ai"
}