founderfeedadmin/gemma-3bn

Public

5 runs

Run founderfeedadmin/gemma-3bn 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		Text prompt
image	string		Optional image
system_prompt	string	You are a helpful assistant.	System prompt
max_new_tokens	integer	512	Max tokens
temperature	number	0.7	Sampling temperature
top_p	number	0.9	Top-p sampling
top_k	integer	50	Top-k sampling

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 1,
      "nullable": true,
      "description": "Optional image"
    },
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 50,
      "x-order": 6,
      "description": "Top-k sampling"
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.9,
      "x-order": 5,
      "description": "Top-p sampling"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Text prompt"
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.7,
      "x-order": 4,
      "description": "Sampling temperature"
    },
    "system_prompt": {
      "type": "string",
      "title": "System Prompt",
      "default": "You are a helpful assistant.",
      "x-order": 2,
      "description": "System prompt"
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "default": 512,
      "x-order": 3,
      "description": "Max tokens"
    }
  }
}

Output schema

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

Schema

{
  "type": "string",
  "title": "Output"
}