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{
    "architectures": [
        "GPTNeoXForCausalLM"
    ],
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    "classifier_dropout": 0.1,
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    "hidden_act": "gelu",
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    "layer_norm_eps": 1e-05,
    "max_position_embeddings": 4096,
    "model_type": "gpt_neox",
    "num_attention_heads": 32,
    "num_hidden_layers": 32,
    "rotary_emb_base": 10000,
    "rotary_pct": 0.25,
    "tie_word_embeddings": false,
    "torch_dtype": "float16",
    "transformers_version": "4.30.2",
    "use_cache": true,
    "use_parallel_residual": true,
    "vocab_size": 49152,
    "pretraining_tp": 1
}