Synchronizing local compiler cache.
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- .gitattributes +32 -0
- neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/granite/hf-internal-testing/tiny-random-GraniteForCausalLM/5188b60acf9ad77c8ef5.json +1 -0
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- neuronxcc-2.16.372.0+4a9b2326/MODULE_12186797013122181295+3cc9a3cb/model.hlo_module.pb +3 -0
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- neuronxcc-2.16.372.0+4a9b2326/MODULE_13309912121921126684+3cc9a3cb/model.hlo_module.pb +3 -0
- neuronxcc-2.16.372.0+4a9b2326/MODULE_13309912121921126684+3cc9a3cb/model.neff +3 -0
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- neuronxcc-2.16.372.0+4a9b2326/MODULE_14152517080381013961+3cc9a3cb/model.done +0 -0
- neuronxcc-2.16.372.0+4a9b2326/MODULE_14152517080381013961+3cc9a3cb/model.hlo_module.pb +3 -0
- neuronxcc-2.16.372.0+4a9b2326/MODULE_14152517080381013961+3cc9a3cb/model.neff +0 -0
- neuronxcc-2.16.372.0+4a9b2326/MODULE_14596302589284321818+3cc9a3cb/compile_flags.json +1 -0
.gitattributes
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{"architectures": ["GraniteForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "attention_multiplier": 1.0, "bos_token_id": 1, "embedding_multiplier": 1.0, "eos_token_id": 2, "hidden_act": "silu", "hidden_size": 32, "initializer_range": 0.02, "intermediate_size": 64, "logits_scaling": 1.0, "max_position_embeddings": 2048, "mlp_bias": false, "model_type": "granite", "num_attention_heads": 4, "num_hidden_layers": 2, "num_key_value_heads": 4, "pad_token_id": 0, "residual_multiplier": 1.0, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "torch_dtype": "float32", "use_cache": true, "vocab_size": 49152}
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{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": [128001, 128008, 128009], "head_dim": 4, "hidden_act": "silu", "hidden_size": 16, "initializer_range": 0.02, "intermediate_size": 64, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "neuron": {"auto_cast_type": "fp32", "batch_size": 1, "checkpoint_id": "llamafactory/tiny-random-Llama-3", "checkpoint_revision": "bf2a2e3bf199ad2ee96f02a3c00246c608db22a8", "compiler_type": "neuronx-cc", "compiler_version": "2.16.372.0+4a9b2326", "num_cores": 2, "sequence_length": 131072}, "num_attention_heads": 4, "num_hidden_layers": 2, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": {"factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3"}, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "float16", "use_cache": true, "vocab_size": 128256}
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neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/llama/llamafactory/tiny-random-Llama-3/c74d843980295535d5ea.json
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{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": [128001, 128008, 128009], "head_dim": 4, "hidden_act": "silu", "hidden_size": 16, "initializer_range": 0.02, "intermediate_size": 64, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 4, "num_hidden_layers": 2, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": {"factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3"}, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "float16", "use_cache": true, "vocab_size": 128256}
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neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/phi3/yujiepan/phi-4-tiny-random/9854f57bdc6009b4290a.json
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{"architectures": ["Phi3ForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "auto_map": {}, "bos_token_id": 100257, "embd_pdrop": 0.0, "eos_token_id": 100257, "hidden_act": "silu", "hidden_size": 16, "initializer_range": 0.02, "intermediate_size": 32, "max_position_embeddings": 16384, "model_type": "phi3", "num_attention_heads": 2, "num_hidden_layers": 2, "num_key_value_heads": 1, "original_max_position_embeddings": 16384, "pad_token_id": 100257, "partial_rotary_factor": 1.0, "resid_pdrop": 0.0, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 250000, "sliding_window": null, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "use_cache": true, "vocab_size": 100352}
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neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/qwen2/Qwen/Qwen2.5-0.5B/9d442ba21d7a61100a33.json
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{"architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151643, "hidden_act": "silu", "hidden_size": 896, "initializer_range": 0.02, "intermediate_size": 4864, "max_position_embeddings": 32768, "max_window_layers": 24, "model_type": "qwen2", "neuron": {"auto_cast_type": "fp32", "batch_size": 1, "checkpoint_id": "Qwen/Qwen2.5-0.5B", "checkpoint_revision": "060db6499f32faf8b98477b0a26969ef7d8b9987", "compiler_type": "neuronx-cc", "compiler_version": "2.16.372.0+4a9b2326", "num_cores": 2, "sequence_length": 128}, "num_attention_heads": 14, "num_hidden_layers": 24, "num_key_value_heads": 2, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000.0, "sliding_window": 32768, "tie_word_embeddings": true, "torch_dtype": "bfloat16", "use_cache": true, "use_mrope": false, "use_sliding_window": false, "vocab_size": 151936}
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neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/qwen2/Qwen/Qwen2.5-0.5B/ff6a7efee8f7c88056fe.json
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{"_entry_class": "SingleModelCacheEntry", "_model_id": "Qwen/Qwen2.5-0.5B", "_task": "text-generation", "architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "hidden_act": "silu", "hidden_size": 896, "initializer_range": 0.02, "intermediate_size": 4864, "max_position_embeddings": 32768, "max_window_layers": 24, "model_type": "qwen2", "neuron": {"auto_cast_type": "fp16", "batch_size": 4, "checkpoint_id": "Qwen/Qwen2.5-0.5B", "checkpoint_revision": "060db6499f32faf8b98477b0a26969ef7d8b9987", "compiler_type": "neuronx-cc", "compiler_version": "2.16.372.0+4a9b2326", "num_cores": 2, "sequence_length": 4096, "task": "text-generation"}, "num_attention_heads": 14, "num_hidden_layers": 24, "num_key_value_heads": 2, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000.0, "sliding_window": 32768, "tie_word_embeddings": true, "use_cache": true, "use_mrope": false, "use_sliding_window": false, "vocab_size": 151936}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/qwen2/yujiepan/qwen2.5-128k-tiny-random/a16c47011d5a28b863ad.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 8, "initializer_range": 0.02, "intermediate_size": 16, "max_position_embeddings": 32768, "max_window_layers": 1, "model_type": "qwen2", "num_attention_heads": 4, "num_hidden_layers": 2, "num_key_value_heads": 2, "rms_norm_eps": 1e-06, "rope_scaling": {"factor": 4.0, "original_max_position_embeddings": 32768, "rope_type": "yarn", "type": "yarn"}, "rope_theta": 1000000.0, "sliding_window": 131072, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "use_cache": true, "use_sliding_window": false, "vocab_size": 152064}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/inference/t5/hf-internal-testing/tiny-random-t5/0b137632bac8c4726d4f.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"_entry_class": "MultiModelCacheEntry", "_model_id": "hf-internal-testing/tiny-random-t5", "_task": "text2text-generation", "decoder": {"classifier_dropout": 0.0, "d_ff": 37, "d_kv": 8, "d_model": 32, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "feed_forward_proj": "relu", "gradient_checkpointing": false, "initializer_factor": 0.002, "is_encoder_decoder": true, "is_gated_act": false, "layer_norm_epsilon": 1e-06, "model_type": "t5", "neuron": {"compiler_type": "neuronx-cc", "compiler_version": "2.16.372.0+4a9b2326", "dynamic_batch_size": false, "inline_weights_to_neff": true, "optlevel": "2", "output_attentions": true, "output_hidden_states": true, "static_batch_size": 1, "static_num_beams": 4, "static_sequence_length": 18, "task": "text2text-generation", "tensor_parallel_size": 1}, "num_decoder_layers": 5, "num_heads": 4, "num_layers": 5, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 8, "use_cache": true, "vocab_size": 1103}, "encoder": {"classifier_dropout": 0.0, "d_ff": 37, "d_kv": 8, "d_model": 32, "decoder_start_token_id": 0, "dense_act_fn": "relu", "dropout_rate": 0.1, "feed_forward_proj": "relu", "gradient_checkpointing": false, "initializer_factor": 0.002, "is_encoder_decoder": true, "is_gated_act": false, "layer_norm_epsilon": 1e-06, "model_type": "t5", "neuron": {"compiler_type": "neuronx-cc", "compiler_version": "2.16.372.0+4a9b2326", "dynamic_batch_size": false, "inline_weights_to_neff": true, "optlevel": "2", "output_attentions": true, "output_hidden_states": true, "static_batch_size": 1, "static_num_beams": 4, "static_sequence_length": 18, "task": "text2text-generation", "tensor_parallel_size": 1}, "num_decoder_layers": 5, "num_heads": 4, "num_layers": 5, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 8, "use_cache": true, "vocab_size": 1103}}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/bert/tmp/tmp055x8f7b/bert_model/1cab9794ce5b8978053e.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "/tmp/tmp055x8f7b/bert_model", "_task": null, "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "sst2", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"negative": 0, "positive": 1}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1], "token_type_ids": [1, 128]}, "model_class": "BertForSequenceClassification", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": false}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "type_vocab_size": 2, "use_cache": true, "vocab_size": 100}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/bert/tmp/tmp055x8f7b/bert_model/9fad3c00a8ce7b822cbd.json
ADDED
@@ -0,0 +1 @@
|
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|
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|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "/tmp/tmp055x8f7b/bert_model", "_task": null, "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "sst2", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"negative": 0, "positive": 1}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1], "token_type_ids": [1, 128]}, "model_class": "BertForSequenceClassification", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": true}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "type_vocab_size": 2, "use_cache": true, "vocab_size": 100}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/bert/tmp/tmpvqq0pekl/bert_model/3ca0af46d24c755e2fdf.json
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "/tmp/tmpvqq0pekl/bert_model", "_task": null, "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "sst2", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"negative": 0, "positive": 1}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1], "token_type_ids": [1, 128]}, "model_class": "BertForSequenceClassification", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": false}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "type_vocab_size": 2, "use_cache": true, "vocab_size": 100}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/bert/tmp/tmpvqq0pekl/bert_model/830f6d3c5618655aa20f.json
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "/tmp/tmpvqq0pekl/bert_model", "_task": null, "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "sst2", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"negative": 0, "positive": 1}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1], "token_type_ids": [1, 128]}, "model_class": "BertForSequenceClassification", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": true}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "type_vocab_size": 2, "use_cache": true, "vocab_size": 100}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/llama/michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random/1f9689dd752066f95ee6.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random", "_task": "text-generation", "architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "head_dim": 4, "hidden_act": "silu", "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 128, "is_decoder": true, "max_position_embeddings": 4096, "mlp_bias": false, "model_type": "llama", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1, 128]}, "model_class": "LlamaForCausalLM", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "float32", "tensor_parallel_size": 2, "training": true}, "num_attention_heads": 32, "num_hidden_layers": 4, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "use_cache": true, "vocab_size": 32000}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/llama/michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random/64bb90767e8801d0affd.json
ADDED
@@ -0,0 +1 @@
|
|
|
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|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random", "_task": null, "architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "head_dim": 4, "hidden_act": "silu", "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 128, "is_decoder": true, "max_position_embeddings": 4096, "mlp_bias": false, "model_type": "llama", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1, 128]}, "model_class": "LlamaForCausalLM", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "float32", "tensor_parallel_size": 1, "training": true}, "num_attention_heads": 32, "num_hidden_layers": 4, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "use_cache": true, "vocab_size": 32000}
|
neuronxcc-2.16.372.0+4a9b2326/0_REGISTRY/0.2.0.dev1/training/llama/michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random/865b7230f7e6d4354531.json
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
{"_entry_class": "SingleModelCacheEntry", "_model_id": "michaelbenayoun/llama-2-tiny-4kv-heads-4layers-random", "_task": null, "architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "head_dim": 4, "hidden_act": "silu", "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 128, "is_decoder": true, "max_position_embeddings": 4096, "mlp_bias": false, "model_type": "llama", "neuron": {"compiler_version": "2.16.372.0+4a9b2326", "input_specs": {"attention_mask": [1, 128], "input_ids": [1, 128], "labels": [1, 128]}, "model_class": "LlamaForCausalLM", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "float32", "tensor_parallel_size": 2, "training": true}, "num_attention_heads": 32, "num_hidden_layers": 4, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "use_cache": true, "vocab_size": 32000}
|
neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/config.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"_attn_implementation_autoset": true,
|
3 |
+
"_name_or_path": "hf-internal-testing/tiny-random-t5",
|
4 |
+
"bos_token_id": 0,
|
5 |
+
"classifier_dropout": 0.0,
|
6 |
+
"d_ff": 37,
|
7 |
+
"d_kv": 8,
|
8 |
+
"d_model": 32,
|
9 |
+
"decoder_start_token_id": 0,
|
10 |
+
"dense_act_fn": "relu",
|
11 |
+
"dropout_rate": 0.1,
|
12 |
+
"eos_token_id": 1,
|
13 |
+
"feed_forward_proj": "relu",
|
14 |
+
"gradient_checkpointing": false,
|
15 |
+
"initializer_factor": 0.002,
|
16 |
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"is_encoder_decoder": true,
|
17 |
+
"is_gated_act": false,
|
18 |
+
"layer_norm_epsilon": 1e-06,
|
19 |
+
"model_type": "t5",
|
20 |
+
"num_decoder_layers": 5,
|
21 |
+
"num_heads": 4,
|
22 |
+
"num_layers": 5,
|
23 |
+
"pad_token_id": 0,
|
24 |
+
"relative_attention_max_distance": 128,
|
25 |
+
"relative_attention_num_buckets": 8,
|
26 |
+
"torch_dtype": "float32",
|
27 |
+
"transformers_version": "4.49.0",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 1103
|
30 |
+
}
|
neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/decoder/config.json
ADDED
@@ -0,0 +1,95 @@
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|
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|
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|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_attn_implementation_autoset": true,
|
3 |
+
"_name_or_path": "hf-internal-testing/tiny-random-t5",
|
4 |
+
"bos_token_id": 0,
|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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"is_gated_act": false,
|
18 |
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"layer_norm_epsilon": 1e-06,
|
19 |
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"model_type": "t5",
|
20 |
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"neuron": {
|
21 |
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"compiler_type": "neuronx-cc",
|
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|
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+
"dynamic_batch_size": false,
|
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"inline_weights_to_neff": true,
|
25 |
+
"input_names": [
|
26 |
+
"decoder_input_ids",
|
27 |
+
"decoder_attention_mask",
|
28 |
+
"encoder_hidden_states",
|
29 |
+
"attention_mask",
|
30 |
+
"beam_idx",
|
31 |
+
"beam_scores"
|
32 |
+
],
|
33 |
+
"model_type": "t5-decoder",
|
34 |
+
"optlevel": "2",
|
35 |
+
"output_attentions": true,
|
36 |
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"output_hidden_states": true,
|
37 |
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"output_names": [
|
38 |
+
"next_token_scores",
|
39 |
+
"next_tokens",
|
40 |
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"next_indices",
|
41 |
+
"past.0.self.key",
|
42 |
+
"past.1.self.key",
|
43 |
+
"past.2.self.key",
|
44 |
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"past.3.self.key",
|
45 |
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"past.4.self.key",
|
46 |
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"past.0.self.value",
|
47 |
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"past.1.self.value",
|
48 |
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"past.2.self.value",
|
49 |
+
"past.3.self.value",
|
50 |
+
"past.4.self.value",
|
51 |
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"past.0.cross.key",
|
52 |
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"past.1.cross.key",
|
53 |
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"past.2.cross.key",
|
54 |
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"past.3.cross.key",
|
55 |
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"past.4.cross.key",
|
56 |
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|
57 |
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|
58 |
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"past.2.cross.value",
|
59 |
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"past.3.cross.value",
|
60 |
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"past.4.cross.value",
|
61 |
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"decoder_hidden_state.0",
|
62 |
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63 |
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64 |
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|
65 |
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|
66 |
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|
67 |
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"decoder_attention.0",
|
68 |
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|
69 |
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|
70 |
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|
71 |
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|
72 |
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73 |
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"cross_attention.1",
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74 |
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"cross_attention.2",
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75 |
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|
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"task": "text2text-generation",
|
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|
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|
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|
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neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/decoder/model.neuron
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neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/encoder/config.json
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neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/tokenizer.json
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neuronxcc-2.16.372.0+4a9b2326/MODULE_0b137632bac8c4726d4f/tokenizer_config.json
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