nateraw/wizard-mega-13b-awq:a4be2a7c – Run with an API on Replicate

Version

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nateraw /wizard-mega-13b-awq:a4be2a7c

Playground API

Input

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

npx create-replicate --model=nateraw/wizard-mega-13b-awq

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 nateraw/wizard-mega-13b-awq using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nateraw/wizard-mega-13b-awq:a4be2a7c75e51c53b22167d44de3333436f1aa9253a201d2619cf74286478599",
  {
    input: {
      top_k: 50,
      top_p: 1,
      temperature: 1,
      max_new_tokens: 512,
      presence_penalty: 1.15
    }
  }
);

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 nateraw/wizard-mega-13b-awq using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/wizard-mega-13b-awq:a4be2a7c75e51c53b22167d44de3333436f1aa9253a201d2619cf74286478599",
    input={
        "top_k": 50,
        "top_p": 1,
        "temperature": 1,
        "max_new_tokens": 512,
        "presence_penalty": 1.15
    }
)
print(output)

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 nateraw/wizard-mega-13b-awq 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": "nateraw/wizard-mega-13b-awq:a4be2a7c75e51c53b22167d44de3333436f1aa9253a201d2619cf74286478599",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "temperature": 1,
      "max_new_tokens": 512,
      "presence_penalty": 1.15
    }
  }' \
  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.