获取模型参数配置

{"data": [{"name": "temperature", "use_template": "temperature", "label": {"zh_Hans": "\u6e29\u5ea6", "en_US": "Temperature"}, "type": "float", "help": {"zh_Hans": "\u6e29\u5ea6\u63a7\u5236\u968f\u673a\u6027\u3002\u8f83\u4f4e\u7684\u6e29\u5ea6\u4f1a\u5bfc\u81f4\u8f83\u5c11\u7684\u968f\u673a\u5b8c\u6210\u3002\u968f\u7740\u6e29\u5ea6\u63a5\u8fd1\u96f6\uff0c\u6a21\u578b\u5c06\u53d8\u5f97\u786e\u5b9a\u6027\u548c\u91cd\u590d\u6027\u3002\u8f83\u9ad8\u7684\u6e29\u5ea6\u4f1a\u5bfc\u81f4\u66f4\u591a\u7684\u968f\u673a\u5b8c\u6210\u3002", "en_US": "Controls randomness. Lower temperature results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. Higher temperature results in more random completions."}, "required": false, "default": 0.0, "min": 0.0, "max": 1.0, "precision": 2, "options": []}, {"name": "top_p", "use_template": "top_p", "label": {"zh_Hans": "Top P", "en_US": "Top P"}, "type": "float", "help": {"zh_Hans": "\u901a\u8fc7\u6838\u5fc3\u91c7\u6837\u63a7\u5236\u591a\u6837\u6027\uff1a0.5\u8868\u793a\u8003\u8651\u4e86\u4e00\u534a\u7684\u6240\u6709\u53ef\u80fd\u6027\u52a0\u6743\u9009\u9879\u3002", "en_US": "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered."}, "required": false, "default": 1.0, "min": 0.0, "max": 1.0, "precision": 2, "options": []}, {"name": "max_tokens", "use_template": "max_tokens", "label": {"zh_Hans": "\u6700\u5927\u6807\u8bb0", "en_US": "Max Tokens"}, "type": "int", "help": {"zh_Hans": "\u6307\u5b9a\u751f\u6210\u7ed3\u679c\u957f\u5ea6\u7684\u4e0a\u9650\u3002\u5982\u679c\u751f\u6210\u7ed3\u679c\u622a\u65ad\uff0c\u53ef\u4ee5\u8c03\u5927\u8be5\u53c2\u6570\u3002", "en_US": "Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter."}, "required": false, "default": 512, "min": 1.0, "max": 8192.0, "precision": 0, "options": []}]}