{
  "model_type": "halt_cot",
  "architectures": [
    "HaltCoTForCausalLM"
  ],
  "library_name": "transformers",
  "task": "text-generation",
  "description": "Default configuration for HALT-CoT entropy-based early stopping over chain-of-thought reasoning.",
  "default_base_model": "Qwen/Qwen2.5-0.5B-Instruct",
  "halt_cot": {
    "theta": 0.6,
    "max_steps": 12,
    "min_steps": 1,
    "consecutive_low_entropy": 2,
    "entropy_unit": "bits",
    "step_max_new_tokens": 96,
    "step_min_new_tokens": 4,
    "prompt_template": "{question}\n\nLet's think step by step.\n",
    "step_prefix": "Step {step}: ",
    "step_stop_strings": [
      "\nStep",
      "\nAnswer:",
      "\nFinal answer:",
      "\n"
    ],
    "answer_probe": "\nTherefore, the final answer is ",
    "do_sample": false,
    "temperature": 0.0,
    "top_p": 1.0
  }
}