titocosta/meditron:c535cbf1 | Run with an API on Replicate

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titocosta /meditron:c535cbf1

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt

prompt_template

string

Shift + Return to add a new line

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>question
{prompt}<|im_end|>
<|im_start|>answer

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>question
{prompt}<|im_end|>
<|im_start|>answer

Prompt template

Default: "\n<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>question\n{prompt}<|im_end|>\n<|im_start|>answer\n"

system_message

string

Shift + Return to add a new line

You are a helpful AI assistant trained in the medical domainYou are a helpful AI assistant trained in the medical domain

System message

Default: "You are a helpful AI assistant trained in the medical domain"

max_new_tokens

integer

The maximum number of tokens the model should generate as output.

Default: 512

temperature

number

Model temperature

Default: 0.2

top_p

number

Top P

Default: 0.95

top_k

integer

Top K

Default: 50

Run this model in Node.js with one line of code:

npx create-replicate --model=titocosta/meditron

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run titocosta/meditron using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "titocosta/meditron:c535cbf143987c7d3cc9e59e13500e6d45c77e91b34455d052e75de91df48c46",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      temperature: 0.2,
      max_new_tokens: 512,
      system_message: "You are a helpful AI assistant trained in the medical domain",
      prompt_template: "\n<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>question\n{prompt}<|im_end|>\n<|im_start|>answer\n"
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run titocosta/meditron using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "titocosta/meditron:c535cbf143987c7d3cc9e59e13500e6d45c77e91b34455d052e75de91df48c46",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "temperature": 0.2,
        "max_new_tokens": 512,
        "system_message": "You are a helpful AI assistant trained in the medical domain",
        "prompt_template": "\n<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>question\n{prompt}<|im_end|>\n<|im_start|>answer\n"
    }
)

# The titocosta/meditron model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/titocosta/meditron/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run titocosta/meditron using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "titocosta/meditron:c535cbf143987c7d3cc9e59e13500e6d45c77e91b34455d052e75de91df48c46",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "temperature": 0.2,
      "max_new_tokens": 512,
      "system_message": "You are a helpful AI assistant trained in the medical domain",
      "prompt_template": "\\n<|im_start|>system\\n{system_message}<|im_end|>\\n<|im_start|>question\\n{prompt}<|im_end|>\\n<|im_start|>answer\\n"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.