technillogue/llama-89 – API reference

technillogue / llama-89

Public
0 runs

Run technillogue/llama-89 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.
system_prompt	string		System prompt to send to the model. This is prepended to the prompt and helps guide system behavior.
max_tokens	integer	512 Min: 1.0	Maximum number of tokens to generate. A word is generally 2-3 tokens.
min_tokens	integer	Min: -1.0	Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.
temperature	number	0.7 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	0.95 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	0 Min: -1.0	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>'.
length_penalty	number	1.0 Max: 5.0	A parameter that controls how long the outputs are. If < 1, the model will tend to generate shorter outputs, and > 1 will tend to generate longer outputs.
presence_penalty	number	0.0	A parameter that penalizes repeated tokens regardless of the number of appearances. As the value increases, the model will be less likely to repeat tokens in the output.
seed	integer		Random seed. Leave blank to randomize the seed.
prompt_template	string	{prompt}	Template for formatting the prompt. Can be an arbitrary string, but must contain the substring `{prompt}`.
log_performance_metrics	boolean	False	None
max_new_tokens	integer	Min: 1.0	This parameter has been renamed to max_tokens. max_new_tokens only exists for backwards compatibility purposes. We recommend you use max_tokens instead. Both may not be specified.
min_new_tokens	integer	Min: -1.0	This parameter has been renamed to min_tokens. min_new_tokens only exists for backwards compatibility purposes. We recommend you use min_tokens instead. Both may not be specified.

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "description": "Random seed. Leave blank to randomize the seed."
    },
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 0,
      "minimum": -1.0,
      "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": 0.95,
      "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": 0,
      "description": "Prompt to send to the model."
    },
    "max_tokens": {
      "type": "integer",
      "title": "Max Tokens",
      "default": 512,
      "minimum": 1.0,
      "x-order": 2,
      "description": "Maximum number of tokens to generate. A word is generally 2-3 tokens."
    },
    "min_tokens": {
      "type": "integer",
      "title": "Min Tokens",
      "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."
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.7,
      "maximum": 5.0,
      "minimum": 0.0,
      "x-order": 4,
      "description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value."
    },
    "system_prompt": {
      "type": "string",
      "title": "System Prompt",
      "default": "",
      "x-order": 1,
      "description": "System prompt to send to the model. This is prepended to the prompt and helps guide system behavior."
    },
    "length_penalty": {
      "type": "number",
      "title": "Length Penalty",
      "default": 1.0,
      "maximum": 5.0,
      "minimum": 0.0,
      "x-order": 8,
      "description": "A parameter that controls how long the outputs are. If < 1, the model will tend to generate shorter outputs, and > 1 will tend to generate longer outputs."
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "minimum": 1.0,
      "x-order": 13,
      "description": "This parameter has been renamed to max_tokens. max_new_tokens only exists for backwards compatibility purposes. We recommend you use max_tokens instead. Both may not be specified."
    },
    "min_new_tokens": {
      "type": "integer",
      "title": "Min New Tokens",
      "minimum": -1.0,
      "x-order": 14,
      "description": "This parameter has been renamed to min_tokens. min_new_tokens only exists for backwards compatibility purposes. We recommend you use min_tokens instead. Both may not be specified."
    },
    "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>'."
    },
    "prompt_template": {
      "type": "string",
      "title": "Prompt Template",
      "default": "{prompt}",
      "x-order": 11,
      "minLength": 1,
      "description": "Template for formatting the prompt. Can be an arbitrary string, but must contain the substring `{prompt}`."
    },
    "presence_penalty": {
      "type": "number",
      "title": "Presence Penalty",
      "default": 0.0,
      "x-order": 9,
      "description": "A parameter that penalizes repeated tokens regardless of the number of appearances. As the value increases, the model will be less likely to repeat tokens in the output."
    },
    "log_performance_metrics": {
      "type": "boolean",
      "title": "Log Performance Metrics",
      "default": false,
      "x-order": 12
    }
  }
}

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"
}