technillogue/good-niceprompts

technillogue / good-niceprompts

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5 runs

Run technillogue/good-niceprompts 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.
max_new_tokens	integer	128 Min: 1.0	Maximum number of tokens to generate. A word is generally 2-3 tokens
min_new_tokens	integer	-1 Min: -1.0	Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.
temperature	number	0.75 Min: 0.01 Max: 5.0	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 Max: 1.0	When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
top_k	integer	50	When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens
stop_sequences	string		A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.
debug	boolean	False	provide debugging output in logs

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "debug": {
      "type": "boolean",
      "title": "Debug",
      "default": false,
      "x-order": 8,
      "description": "provide debugging output in logs"
    },
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 50,
      "minimum": 0.0,
      "x-order": 6,
      "description": "When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens"
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.9,
      "maximum": 1.0,
      "minimum": 0.0,
      "x-order": 5,
      "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": 1,
      "description": "Prompt to send to the model."
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.75,
      "maximum": 5.0,
      "minimum": 0.01,
      "x-order": 4,
      "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": 128,
      "minimum": 1.0,
      "x-order": 2,
      "description": "Maximum number of tokens to generate. A word is generally 2-3 tokens"
    },
    "min_new_tokens": {
      "type": "integer",
      "title": "Min New Tokens",
      "default": -1,
      "minimum": -1.0,
      "x-order": 3,
      "description": "Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens."
    },
    "stop_sequences": {
      "type": "string",
      "title": "Stop Sequences",
      "x-order": 7,
      "description": "A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'."
    }
  }
}

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"
}