NanoMath-R / model_config.json
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Initial NanoMath-R release
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{
"architecture": "recurrent_transformer",
"bias": false,
"block_size": 1024,
"dropout": 0.0,
"mlp_type": "swiglu",
"n_embd": 768,
"n_head": 12,
"n_kv_head": 4,
"n_layer": 16,
"norm_type": "rmsnorm",
"physical_layers": 16,
"position_encoding": "rope",
"recurrent_steps": 2,
"tie_embeddings": true,
"unrolled_depth": 32,
"vocab_size": 4096,
"zero_init_residual": true
}