neuronxcc-2.15.128.0+56dc5a86/MODULE_0975f752bc3ab59de063/config.json

{
  "_name_or_path": "hf-internal-testing/tiny-random-ConvBertModel",
  "architectures": [
    "ConvBertModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "conv_kernel_size": 9,
  "embedding_size": 768,
  "eos_token_id": 2,
  "head_ratio": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 32,
  "initializer_range": 0.02,
  "intermediate_size": 37,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "convbert",
  "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": false,
    "inline_weights_to_neff": true,
    "input_names": [
      "input_ids",
      "attention_mask",
      "token_type_ids"
    ],
    "model_type": "convbert",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "last_hidden_state"
    ],
    "static_batch_size": 1,
    "static_sequence_length": 128
  },
  "num_attention_heads": 4,
  "num_groups": 1,
  "num_hidden_layers": 5,
  "pad_token_id": 0,
  "task": "feature-extraction",
  "torchscript": true,
  "transformers_version": "4.43.2",
  "type_vocab_size": 16,
  "vocab_size": 1124
}