manta-lm-base / config.json
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Update config.json
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{
"architectures": [
"MantaForConditionalGeneration"
],
"auto_map": {
"AutoConfig": "configuration_manta.MantaConfig",
"AutoModel": "modeling_manta.MantaModel",
"AutoModelForSeq2SeqLM": "modeling_manta.MantaForConditionalGeneration"
},
"byte_embedding_dim": 128,
"d_ff": 3072,
"d_kv": 64,
"d_model": 768,
"dense_act_fn": "gelu_new",
"dropout_rate": 0.1,
"eos_token_id": 1,
"feed_forward_proj": "gated-gelu",
"frontier_predictor_attention_window": 16,
"frontier_predictor_num_attention_heads": 8,
"frontier_predictor_num_layers": 2,
"initializer_factor": 1.0,
"is_encoder_decoder": true,
"is_gated_act": true,
"layer_norm_epsilon": 1e-06,
"max_length_encoder_decoder": 512,
"max_length_inputs": 2048,
"model_type": "manta",
"num_decoder_layers": 12,
"num_heads": 12,
"num_layers": 12,
"pad_token_id": 0,
"pooling_depthwise_convolution": true,
"pooling_kernel_size": 3,
"pooling_mean_pool": false,
"pooling_variance_regularization": 1e-06,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.29.2",
"use_cache": true,
"vocab_size": 384,
"tokenizer_class": "ByT5Tokenizer"
}