aurafriday/hunyuan-a13b-instruct

tencent/Hunyuan-A13B-Instruct

Public

2 runs

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Playground API Examples README Versions

Run aurafriday/hunyuan-a13b-instruct with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
prompt	string	Hello! How can I help you today?	The input prompt/message for the model
system_prompt	string	You are a helpful AI assistant.	System prompt to set the model's behavior
thinking_mode	None	auto	Whether to enable detailed reasoning
max_new_tokens	integer	2048 Min: 1 Max: 8192	Maximum number of tokens to generate
temperature	number	0.7 Min: 0.1 Max: 2	Temperature for sampling (higher = more creative)
top_p	number	0.9 Min: 0.1 Max: 1	Top-p sampling (nucleus sampling)
repetition_penalty	number	1.1 Min: 1 Max: 2	Penalty for repetition

{
  "type": "object",
  "title": "Input",
  "properties": {
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.9,
      "maximum": 1,
      "minimum": 0.1,
      "x-order": 5,
      "description": "Top-p sampling (nucleus sampling)"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "Hello! How can I help you today?",
      "x-order": 0,
      "description": "The input prompt/message for the model"
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.7,
      "maximum": 2,
      "minimum": 0.1,
      "x-order": 4,
      "description": "Temperature for sampling (higher = more creative)"
    },
    "system_prompt": {
      "type": "string",
      "title": "System Prompt",
      "default": "You are a helpful AI assistant.",
      "x-order": 1,
      "description": "System prompt to set the model's behavior"
    },
    "thinking_mode": {
      "enum": [
        "auto",
        "enabled",
        "disabled"
      ],
      "type": "string",
      "title": "thinking_mode",
      "description": "Whether to enable detailed reasoning",
      "default": "auto",
      "x-order": 2
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "default": 2048,
      "maximum": 8192,
      "minimum": 1,
      "x-order": 3,
      "description": "Maximum number of tokens to generate"
    },
    "repetition_penalty": {
      "type": "number",
      "title": "Repetition Penalty",
      "default": 1.1,
      "maximum": 2,
      "minimum": 1,
      "x-order": 6,
      "description": "Penalty for repetition"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "object",
  "title": "Output"
}