hikikomori-haven/moistral | Run with an API on Replicate

Input

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

npx create-replicate --model=hikikomori-haven/moistral

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 hikikomori-haven/moistral using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hikikomori-haven/moistral:23344f898ecbee9947fd1bdd905953ae6638213629fa1b21567fe41eb08b402a",
  {
    input: {
      stop: "\n",
      top_p: 0.95,
      prompt: "<s> ### User:\nWhat's the largest planet in the solar system?\n\n### Assistant:\n",
      max_tokens: 16,
      temperature: 0.8,
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);

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 hikikomori-haven/moistral using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hikikomori-haven/moistral:23344f898ecbee9947fd1bdd905953ae6638213629fa1b21567fe41eb08b402a",
    input={
        "stop": "\n",
        "top_p": 0.95,
        "prompt": "<s> ### User:\nWhat's the largest planet in the solar system?\n\n### Assistant:\n",
        "max_tokens": 16,
        "temperature": 0.8,
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The hikikomori-haven/moistral 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/hikikomori-haven/moistral/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 hikikomori-haven/moistral 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": "hikikomori-haven/moistral:23344f898ecbee9947fd1bdd905953ae6638213629fa1b21567fe41eb08b402a",
    "input": {
      "stop": "\\n",
      "top_p": 0.95,
      "prompt": "<s> ### User:\\nWhat\'s the largest planet in the solar system?\\n\\n### Assistant:\\n",
      "max_tokens": 16,
      "temperature": 0.8,
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.