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manta-lm-base

Text2Text Generation
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manta-lm-base
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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": 2048,
  "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
}