{
  "model_type": "llama",
  "architectures": [
    "DeepForCausalLM"
  ],
  "version": "0.13.0",
  "vocab_size": 32000,
  "hidden_size": 2048,
  "intermediate_size": 5632,
  "num_hidden_layers": 24,
  "num_attention_heads": 16,
  "num_key_value_heads": 8,
  "max_position_embeddings": 2048,
  "rope_theta": 10000.0,
  "rms_norm_eps": 1e-06,
  "attention_dropout": 0.0,
  "hidden_act": "silu",
  "tie_word_embeddings": true,
  "initializer_range": 0.02,
  "pad_token_id": 1,
  "bos_token_id": 2,
  "eos_token_id": 0,
  "use_token_routed_mlp": true,
  "num_experts": 4,
  "use_qk_norm": true,
  "use_sdpa": true,
  "sliding_window": null,
  "dynamics_alpha": 0.9,
  "dynamics_beta": 0.1,
  "dynamics_gate": 0.5,
  "dynamics_dt": 0.1,
  "dynamics_controller_hidden": 64,
  "parameters": "~1.5B",
  "innovations": [
    "KQV Order (v0.13.0) - industry standard like Qwen, Llama, GPT",
    "Mu-Guided KQV (INL 2025) - mu biases K, Q, AND V",
    "Mu-Guided Expert Routing - mu influences MLP expert selection",
    "Mu Residual Highway - accumulated context across layers",
    "Token-Routed MLP with mu override",
    "INL Dynamics with velocity tracking",
    "Grouped Query Attention (GQA)",
    "RoPE positional embeddings",
    "QK Normalization",
    "Flash Attention (SDPA)"
  ]
}