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{
"model_type": "complexity-deep",
"architecture": "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-6,
"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": "~1.47B",
"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)"
]
}
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