hikikomori-haven/moistral

hikikomori-haven / moistral

Public
21 runs

Run hikikomori-haven/moistral 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	<s> ### User: What's the largest planet in the solar system? ### Assistant:	The prompt to generate text from.
max_tokens	integer	16	The maximum number of tokens to generate. If max_tokens <= 0 or None, the maximum number of tokens to generate is unlimited and depends on n_ctx.
temperature	number	0.8	The temperature to use for sampling.
top_p	number	0.95	The nucleus sampling probability.
frequency_penalty	number	0	The frequency penalty to use.
presence_penalty	number	0	The presence penalty to use.
stop	string		The stop sequence to use.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "stop": {
      "type": "string",
      "title": "Stop",
      "default": "\n",
      "x-order": 6,
      "description": "The stop sequence to use."
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.95,
      "x-order": 3,
      "description": "The nucleus sampling probability."
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "<s> ### User:\nWhat's the largest planet in the solar system?\n\n### Assistant:\n",
      "x-order": 0,
      "description": "The prompt to generate text from."
    },
    "max_tokens": {
      "type": "integer",
      "title": "Max Tokens",
      "default": 16,
      "x-order": 1,
      "description": "The maximum number of tokens to generate. If max_tokens <= 0 or None, the maximum number of tokens to generate is unlimited and depends on n_ctx."
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.8,
      "x-order": 2,
      "description": "The temperature to use for sampling."
    },
    "presence_penalty": {
      "type": "number",
      "title": "Presence Penalty",
      "default": 0,
      "x-order": 5,
      "description": "The presence penalty to use."
    },
    "frequency_penalty": {
      "type": "number",
      "title": "Frequency Penalty",
      "default": 0,
      "x-order": 4,
      "description": "The frequency penalty to use."
    }
  }
}

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"
}