pangu-350M / config.json
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{
"activation_function": "gelu",
"architectures": [
"GPTPanguForCausalLM"
],
"attn_pdrop": 0.1,
"embd_pdrop": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": null,
"layer_norm_epsilon": 1e-05,
"max_position_embeddings": 1024,
"model_type": "gpt_pangu",
"num_heads": 16,
"num_layers": 24,
"resid_pdrop": 0.1,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"torch_dtype": "float32",
"vocab_size": 40000,
"tokenizer_class": "GPTPanguTokenizer",
"auto_map": {
"AutoConfig": "configuration_gptpangu.GPTPanguConfig",
"AutoTokenizer": ["tokenization_gptpangu.GPTPanguTokenizer", null],
"AutoModelForCausalLM": "modeling_gptpangu.GPTPanguForCausalLM"
},
"pad_token_id": 6
}