Synchronizing local compiler cache.
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- .gitattributes +225 -0
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.gitattributes
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| 1100 |
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neuronxcc-2.15.128.0+56dc5a86/MODULE_daff12b814ed88f2ab94/vae_decoder/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_de03d21e9973871dbb35/vae_decoder/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_de03d21e9973871dbb35/vae_encoder/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_def50a878c5b81407e44/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_e049342bf50290d2724f+39f12043/model.neff filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_e3e7e34943cc31ccf401/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_e3fa95d41328fe3c279f/model.neuron filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/MODULE_ede85a6c2ef194dd17ba+39f12043/model.neff filter=lfs diff=lfs merge=lfs -text
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/057a0b117072895737a5.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/2b6be39275a9fdfab705.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_num_choices": 4, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "multiple-choice", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/38bdfb1d29492e0d0841.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/3b57d304681a6f2035ea.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/454cb12cdd241ea79628.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/4a1a3d74c95714bdaecc.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "vocab_size": 30000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/4acd394733d4e53cd305.json
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/80607a3850d23e3a3dba.json
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@@ -0,0 +1 @@
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| 1 |
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{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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_num_choices": 4, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "multiple-choice", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/948fb30f8efd7ba30e39.json
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/954084ce99e4308b5500.json
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/aae7db08f0a5a8380444.json
ADDED
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/ad448fd8d83aac157ba0.json
ADDED
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@@ -0,0 +1 @@
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|
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/bbeff8118253ee54ae25.json
ADDED
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/bfc30955b9fec01bdc06.json
ADDED
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@@ -0,0 +1 @@
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|
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/d97c7cbbffd9b73dc964.json
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/e2612d301502938c21ec.json
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/albert/hf-internal-testing/tiny-random-AlbertModel/fbd5df1f3fbd8961b2cf.json
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| 1 |
+
{"architectures": ["AlbertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 36, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 37, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 6, "num_hidden_groups": 6, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "vocab_size": 30000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/beit/hf-internal-testing/tiny-random-BeitForImageClassification/153e968a7f118b7225f3.json
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| 1 |
+
{"add_fpn": false, "architectures": ["BeitForImageClassification"], "attention_probs_dropout_prob": 0.1, "auxiliary_channels": 256, "auxiliary_concat_input": false, "auxiliary_loss_weight": 0.4, "auxiliary_num_convs": 1, "drop_path_rate": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 32, "image_size": 30, "initializer_range": 0.02, "intermediate_size": 37, "layer_norm_eps": 1e-12, "layer_scale_init_value": 0.1, "model_type": "beit", "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_image_size": 30, "static_num_channels": 3, "static_patch_size": 2}, "num_attention_heads": 4, "num_channels": 3, "num_hidden_layers": 4, "out_features": ["stem", "stage1", "stage2", "stage3"], "out_indices": [0, 1, 2, 3], "patch_size": 2, "pool_scales": [1, 2, 3, 6], "reshape_hidden_states": true, "semantic_loss_ignore_index": 255, "stage_names": ["stem", "stage1", "stage2", "stage3", "stage4"], "task": "image-classification", "use_absolute_position_embeddings": false, "use_auxiliary_head": true, "use_mask_token": false, "use_mean_pooling": true, "use_relative_position_bias": false, "use_shared_relative_position_bias": false, "vocab_size": 100}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/beit/hf-internal-testing/tiny-random-BeitForImageClassification/3e8a0e4a139c44c06766.json
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| 1 |
+
{"add_fpn": false, "architectures": ["BeitForImageClassification"], "attention_probs_dropout_prob": 0.1, "auxiliary_channels": 256, "auxiliary_concat_input": false, "auxiliary_loss_weight": 0.4, "auxiliary_num_convs": 1, "drop_path_rate": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 32, "image_size": 30, "initializer_range": 0.02, "intermediate_size": 37, "layer_norm_eps": 1e-12, "layer_scale_init_value": 0.1, "model_type": "beit", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_image_size": 30, "static_num_channels": 3, "static_patch_size": 2}, "num_attention_heads": 4, "num_channels": 3, "num_hidden_layers": 4, "out_features": ["stem", "stage1", "stage2", "stage3"], "out_indices": [0, 1, 2, 3], "patch_size": 2, "pool_scales": [1, 2, 3, 6], "reshape_hidden_states": true, "semantic_loss_ignore_index": 255, "stage_names": ["stem", "stage1", "stage2", "stage3", "stage4"], "task": "image-classification", "use_absolute_position_embeddings": false, "use_auxiliary_head": true, "use_mask_token": false, "use_mean_pooling": true, "use_relative_position_bias": false, "use_shared_relative_position_bias": false, "vocab_size": 100}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/fxmarty/tiny-bert-sst2-distilled-subfolder/1a663ed3d4415ecf05c6.json
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+
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "negative", "1": "positive"}, "initializer_range": 0.02, "intermediate_size": 512, "label2id": {"negative": "0", "positive": "1"}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "task": "text-classification", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/0a875c583280a486fff3.json
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+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/1bcfe2f8d3cabf9f7772.json
ADDED
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_num_choices": 4, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "multiple-choice", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/267129eadf03f266f41a.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/2dc6e61d266ed87994fa.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/2e01360ccdc2ae779cff.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/380e58107e16dea8e2b1.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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": false, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/4888b3d34bcc74b2e62a.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/5172075aa9d56b585c7d.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/637ec7bd7cf61cb2d7dd.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/64c04e0d0d2f16b03e9a.json
ADDED
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/75d9fd10397ff3b7df56.json
ADDED
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@@ -0,0 +1 @@
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|
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|
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/8dfe0c0593533b94a022.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/8e3830c34cbe123f8b88.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/8f34e55b9eff8a873fcc.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/a9a79fb36ebd3d1eb880.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/ac8731398ef459d8b361.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/e713e8655f43c3c92a68.json
ADDED
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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_num_choices": 4, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "multiple-choice", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/hf-internal-testing/tiny-random-BertModel/fcd9833c6d0e9c2ac371.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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": "bert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1124}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/sentence-transformers/all-MiniLM-L6-v2/d40bed02e51631a980f0.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "export_model_type": "transformer", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range": 0.02, "intermediate_size": 1536, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 16}, "num_attention_heads": 12, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/bert/sentence-transformers/all-MiniLM-L6-v2/d5e6985ebe24acad3d71.json
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| 1 |
+
{"architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "export_model_type": "transformer", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range": 0.02, "intermediate_size": 1536, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "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}, "num_attention_heads": 12, "num_hidden_layers": 6, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/0cdbf4b8901337090339.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
|
neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/0f17d5186a638804b50c.json
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| 1 |
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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_num_choices": 4, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "multiple-choice", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/1bec064c35b70a25da57.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "question-answering", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/40367097912992a67b32.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "fill-mask", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/46e88bffb5bfa884d09c.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/4ba10c0bae37e81ed485.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "token-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/577d74200dc4c23fc33e.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/6646f5b85c2c183a029d.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "feature-extraction", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/camembert/hf-internal-testing/tiny-random-camembert/6a954771dad7b2569abb.json
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{"architectures": ["CamembertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "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": "camembert", "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, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 128}, "num_attention_heads": 4, "num_hidden_layers": 5, "position_embedding_type": "absolute", "task": "text-classification", "type_vocab_size": 16, "use_cache": true, "vocab_size": 1000}
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