{
  "architectures": [
    "ChessForCausalLM"
  ],
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    "AutoTokenizer": "chess_tokenizer_custom.ChessTokenizer"
  },
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  "dropout": 0.1,
  "dtype": "float32",
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  "layer_norm_epsilon": 1e-05,
  "model_type": "chess_transformer",
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  "n_embd": 128,
  "n_head": 4,
  "n_inner": 384,
  "n_layer": 5,
  "pad_token_id": 0,
  "tie_weights": true,
  "transformers_version": "4.57.5",
  "vocab_size": 144
}