yunzai-cc/zoe-test | API reference

yunzai-cc / zoe-test

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14 runs

Run yunzai-cc/zoe-test 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		Prompt to send to the model.
history	string		chat history
max_new_tokens	integer	10 Min: 1	Maximum number of tokens to generate. A word is generally 2-3 tokens
temperature	number	0.75 Min: 0.01 Max: 5	Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
top_p	number	0.9 Min: 0.01 Max: 1	When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
top_k	integer	0	When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens. Overrides top_p if set. Set to `0` to disable.
repetition_penalty	number	1 Min: 0.01 Max: 5	Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.
is_stream	boolean	False	set stream repsonse

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 0,
      "minimum": 0,
      "x-order": 5,
      "description": "When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens. Overrides top_p if set. Set to `0` to disable."
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.9,
      "maximum": 1,
      "minimum": 0.01,
      "x-order": 4,
      "description": "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Prompt to send to the model."
    },
    "history": {
      "type": "string",
      "title": "History",
      "x-order": 1,
      "description": "chat history"
    },
    "is_stream": {
      "type": "boolean",
      "title": "Is Stream",
      "default": false,
      "x-order": 7,
      "description": "set stream repsonse"
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.75,
      "maximum": 5,
      "minimum": 0.01,
      "x-order": 3,
      "description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value."
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "default": 10,
      "minimum": 1,
      "x-order": 2,
      "description": "Maximum number of tokens to generate. A word is generally 2-3 tokens"
    },
    "repetition_penalty": {
      "type": "number",
      "title": "Repetition Penalty",
      "default": 1,
      "maximum": 5,
      "minimum": 0.01,
      "x-order": 6,
      "description": "Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it."
    }
  }
}

Output schema

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

Schema

{
  "type": "array",
  "items": {
    "type": "string"
  },
  "title": "Output",
  "x-cog-array-type": "iterator",
  "x-cog-array-display": "concatenate"
}