mozeal/seallm-7b-v2 – API reference

mozeal / seallm-7b-v2

Public
112 runs

Run mozeal/seallm-7b-v2 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	เล่านิทานก่อนนอนเรื่องลูกหมูน้อยผจญภัย	Prompt to send to the model.
system_prompt	string	You are helful assistant.	System prompt to send to the model. This is prepended to the prompt and helps guide system behavior. Should not be blank.
max_new_tokens	integer	512 Min: 1	Maximum number of tokens to generate. A word is generally 2-3 tokens
min_new_tokens	integer	-1 Min: -1	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	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	When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
top_k	integer	1 Min: 1	When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens
debug	boolean	False	provide debugging output in logs

{
  "type": "object",
  "title": "Input",
  "properties": {
    "debug": {
      "type": "boolean",
      "title": "Debug",
      "default": false,
      "x-order": 7,
      "description": "provide debugging output in logs"
    },
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 1,
      "minimum": 1,
      "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,
      "minimum": 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",
      "default": "\u0e40\u0e25\u0e48\u0e32\u0e19\u0e34\u0e17\u0e32\u0e19\u0e01\u0e48\u0e2d\u0e19\u0e19\u0e2d\u0e19\u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e25\u0e39\u0e01\u0e2b\u0e21\u0e39\u0e19\u0e49\u0e2d\u0e22\u0e1c\u0e08\u0e0d\u0e20\u0e31\u0e22",
      "x-order": 0,
      "description": "Prompt to send to the model."
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.75,
      "maximum": 5,
      "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."
    },
    "system_prompt": {
      "type": "string",
      "title": "System Prompt",
      "default": "You are helful assistant.",
      "x-order": 1,
      "description": "System prompt to send to the model. This is prepended to the prompt and helps guide system behavior. Should not be blank."
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "default": 512,
      "minimum": 1,
      "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,
      "x-order": 3,
      "description": "Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens."
    }
  }
}

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"
}