npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

smollm2-1.7b-runner

v1.1.0

Published

A Node.js package to run SmolLM locally using [`node-llama-cpp`](https://www.npmjs.com/package/node-llama-cpp). This package enables text generation using a lightweight LLM model.

Readme

smollm2-1.7b-runner

A Node.js package to run SmolLM locally using node-llama-cpp. This package enables text generation using a lightweight LLM model.

Model

This package uses the SmolLM2-1.7B-Instruct model from Hugging Face.

Installation

npm install smollm2-1.7b-runner

Usage

const smol = require("smollm2-1.7b-runner");

async function chat() {
  const response = await smol.prompt("Hello, how are you!");
  console.log(response);
}

chat();

Functions

prompt()

smol.prompt(userPrompt, options);
  • userPrompt (string): The input text to generate a response from the model.
  • options (object, optional):
    • maxTokens (number): Maximum number of tokens to generate (default: 200). Range: 1-2048.
    • temperature (number): Controls randomness in output (default: 0.8). Range: 0.1-1.0.
  • Returns: Generated text response from the model.
  • Throws: Error if initialization failed or invalid options are provided.