neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/training/llama/meta-llama/Llama-3.2-1B/10b237bc7af7adc4674b.json

{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 64, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 8192, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "neuron": {"compiler_version": "2.15.128.0+56dc5a86", "input_specs": {"chosen": ["679126 + 267240639551605 = 267240640230731"], "chosen_attention_mask": [1, 512], "chosen_input_ids": [1, 512], "chosen_labels": [1, 512], "prompt": ["679126 + 267240639551605?\nequations/math only, no commentary."], "prompt_attention_mask": [1, 512], "prompt_input_ids": [1, 512], "question": ["679126 + 267240639551605?\nequations/math only, no commentary."], "rejected": [" To add these two large numbers together, we can follow the standard addition procedures as done with smaller numbers, starting from the rightmost digit and moving leftward. Here is the detailed solution:\n\n  679126                        + 267240639551605\n\nFirst, let's add the rightmost digits (units column):\n   2 = 6 + 5 + 1 (carry 1)\n    Result in units column: 7\n\nNext is the tens column:\n   67 + 2 + 0 = 79\n   + 7 + 6 = 13 (carry 1)\n   Result in tens column: 0, with the one carried over to the hundreds column\n\nNow, the hundreds column:\n   (3 from 13 in previous step + 9 + 7 = 23; carry 2)\n   6 + 5 = 11\n Result in hundreds column: 0, with the two carried over to the thousands column\n\nNext level:\n   (2 from the 2 carried over + 6) = 8\n Result in thousands column: 8\n\nLast level:\n  (8 from the previous step + 2 + 6) = 16 (160 million)\n  Result in millions column: 0, with the remaining carryover 160 million into the next column.\n\nAll the remaining digits in the given numbers (679126 and 267240639551605) are exactly the same as the given 0s and 1s in the upper columns of the shown addition. Due to the large numbers involved, we are not including them in this simplified solution for readability. However, you can continue the addition process as shown with the same carryover principles to get the final result of:\n\n6,791,260,000,000,255,160,605 (679,126 added to 267,240,639,516,050)\n"], "rejected_attention_mask": [1, 512], "rejected_input_ids": [1, 512], "rejected_labels": [1, 512], "source": ["GOAT"], "system": [null]}, "model_class": "PeftModelForCausalLM", "num_neuron_cores_per_node": 2, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": true}, "num_attention_heads": 32, "num_hidden_layers": 16, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": {"factor": 32.0, "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": true, "torch_dtype": "bfloat16", "use_cache": true, "vocab_size": 128256}