neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/training/llama/meta-llama/Llama-3.2-1B/109a8902072335f0ae6c.json

{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128256, "eos_token_id": 128257, "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": ["<|im_start|>user\nA regular polygon has exterior angles each measuring 15 degrees. How many sides does the polygon have?<|im_end|>\n<|im_start|>assistant\nI know that the sum of the exterior angles of any polygon is 360 degrees, so if each exterior angle is 15 degrees, I can divide 360 by 15 to get the number of angles and sides.\n360 divided by 15 is 24, so the polygon has 24 sides.\n# Answer\n\n24<|im_end|>\n"], "chosen_attention_mask": [1, 512], "chosen_input_ids": [1, 512], "chosen_labels": [1, 512], "prompt": ["A regular polygon has exterior angles each measuring 15 degrees. How many sides does the polygon have?"], "prompt_attention_mask": [1, 512], "prompt_input_ids": [1, 512], "question": ["A regular polygon has exterior angles each measuring 15 degrees. How many sides does the polygon have?"], "rejected": ["<|im_start|>user\nA regular polygon has exterior angles each measuring 15 degrees. How many sides does the polygon have?<|im_end|>\n<|im_start|>assistant\nThe measure of each exterior angle in a regular $n$-gon is $360/n$ degrees.  Setting this expression equal to 15, we find $n=\\boxed{24}$.<|im_end|>\n"], "rejected_attention_mask": [1, 512], "rejected_input_ids": [1, 512], "rejected_labels": [1, 512], "source": ["prm_dpo_pairs"]}, "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, "pad_token_id": 128257, "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": 128258}