titocosta/meditron-70b-awq

titocosta / meditron-70b-awq

Meditron-70B-v1.0 from Meditron's open-source suite of medical LLMs, quantized with AWQ.

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139 runs
GitHub
Paper

Run titocosta/meditron-70b-awq 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
prompt_template	string	<\|im_start\|>system {system_message}<\|im_end\|> <\|im_start\|>question {prompt}<\|im_end\|> <\|im_start\|>answer	Prompt template
system_message	string	You are a helpful AI assistant trained in the medical domain	System message
max_new_tokens	integer	512	The maximum number of tokens the model should generate as output.
temperature	number	0.2	Model temperature
top_p	number	0.95	Top P
top_k	integer	50	Top K

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "top_k": {
      "type": "integer",
      "title": "Top K",
      "default": 50,
      "x-order": 6,
      "description": "Top K"
    },
    "top_p": {
      "type": "number",
      "title": "Top P",
      "default": 0.95,
      "x-order": 5,
      "description": "Top P"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Prompt"
    },
    "temperature": {
      "type": "number",
      "title": "Temperature",
      "default": 0.2,
      "x-order": 4,
      "description": "Model temperature"
    },
    "max_new_tokens": {
      "type": "integer",
      "title": "Max New Tokens",
      "default": 512,
      "x-order": 3,
      "description": "The maximum number of tokens the model should generate as output."
    },
    "system_message": {
      "type": "string",
      "title": "System Message",
      "default": "You are a helpful AI assistant trained in the medical domain",
      "x-order": 2,
      "description": "System message"
    },
    "prompt_template": {
      "type": "string",
      "title": "Prompt Template",
      "default": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>question\n{prompt}<|im_end|>\n<|im_start|>answer\n",
      "x-order": 1,
      "description": "Prompt template"
    }
  }
}

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"
}