Text2Text Generation
Transformers
PyTorch
mt5
Inference Endpoints
seahorse-xxl-q3 / config.json
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{
"_name_or_path": "/usr/local/google/home/eaclark/Downloads/seahorse_unfiltered_mt5_xxl_0417_q3/checkpoint_1004000_hf",
"architectures": [
"MT5ForConditionalGeneration"
],
"d_ff": 10240,
"d_kv": 64,
"d_model": 4096,
"decoder_start_token_id": 0,
"dense_act_fn": "gelu_new",
"dropout_rate": 0.1,
"eos_token_id": 1,
"feed_forward_proj": "gated-gelu",
"initializer_factor": 1.0,
"is_encoder_decoder": true,
"is_gated_act": true,
"layer_norm_epsilon": 1e-06,
"model_type": "mt5",
"num_decoder_layers": 24,
"num_heads": 64,
"num_layers": 24,
"output_past": true,
"pad_token_id": 0,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"tie_word_embeddings": false,
"tokenizer_class": "T5Tokenizer",
"torch_dtype": "float32",
"transformers_version": "4.28.1",
"use_cache": true,
"vocab_size": 250112
}