optimum-neuron-cache
/
neuronxcc-2.15.128.0+56dc5a86
/0_REGISTRY
/0.0.25.dev0
/inference
/mobilebert
/hf-internal-testing
/tiny-random-MobileBertModel
/97c93eb8015cacfb05fb.json
{"architectures": ["MobileBertModel"], "attention_probs_dropout_prob": 0.1, "classifier_activation": true, "classifier_dropout": null, "embedding_size": 32, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 64, "initializer_range": 0.02, "intermediate_size": 37, "intra_bottleneck_size": 128, "key_query_shared_bottleneck": true, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "mobilebert", "neuron": {"auto_cast": null, "auto_cast_type": null, "compiler_type": "neuronx-cc", "compiler_version": "2.15.128.0+56dc5a86", "disable_fallback": false, "disable_fast_relayout": false, "dynamic_batch_size": true, "inline_weights_to_neff": true, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "normalization_type": "no_norm", "num_attention_heads": 4, "num_feedforward_networks": 4, "num_hidden_layers": 5, "task": "question-answering", "trigram_input": true, "true_hidden_size": 128, "type_vocab_size": 16, "use_bottleneck": true, "use_bottleneck_attention": false, "vocab_size": 1124} |