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MiniLMv2-L6-H384-distilled-from-BERT-Base/config.json

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+{
+  "architectures": [
+    "BertForMaskedLM"
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+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
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+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

MiniLMv2-L6-H384-distilled-from-BERT-Base/pytorch_model.bin

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MiniLMv2-L6-H768-distilled-from-BERT-Base/config.json

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+{
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+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

MiniLMv2-L6-H768-distilled-from-BERT-Base/pytorch_model.bin

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MiniLMv2-L6-H768-distilled-from-BERT-Large/config.json

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+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
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+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
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+}

MiniLMv2-L6-H768-distilled-from-BERT-Large/pytorch_model.bin

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