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Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

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withcatai/node-llama-cpp

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node-llama-cpp

Run AI models locally on your machine

Pre-built bindings are provided with a fallback to building from source with cmake

Build License Types Version

v3.0 is here!

Features

Try It Without Installing

Chat with a model in your terminal using a single command:

npx -y node-llama-cpp chat

Installation

npm install node-llama-cpp

This package comes with pre-built binaries for macOS, Linux and Windows.

If binaries are not available for your platform, it'll fallback to download a release of llama.cpp and build it from source with cmake. To disable this behavior, set the environment variable NODE_LLAMA_CPP_SKIP_DOWNLOAD to true.

Usage

import {fileURLToPath} from "url";
import path from "path";
import {getLlama, LlamaChatSession} from "node-llama-cpp";

const __dirname = path.dirname(fileURLToPath(import.meta.url));

const llama = await getLlama();
const model = await llama.loadModel({
    modelPath: path.join(__dirname, "models", "Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf")
});
const context = await model.createContext();
const session = new LlamaChatSession({
    contextSequence: context.getSequence()
});


const q1 = "Hi there, how are you?";
console.log("User: " + q1);

const a1 = await session.prompt(q1);
console.log("AI: " + a1);


const q2 = "Summarize what you said";
console.log("User: " + q2);

const a2 = await session.prompt(q2);
console.log("AI: " + a2);

For more examples, see the getting started guide

Contributing

To contribute to node-llama-cpp read the contribution guide.

Acknowledgements


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