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node llama cpp

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3.2.0

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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}

v3.0 is here!

Features

Run LLMs locally on your machine
Metal, CUDA and Vulkan support
Pre-built binaries are provided, with a fallback to building from source without node-gyp or Python
Adapts to your hardware automatically, no need to configure anything
A Complete suite of everything you need to use LLMs in your projects
Use the CLI to chat with a model without writing any code
Up-to-date with the latest llama.cpp. Download and compile the latest release with a single CLI command
Enforce a model to generate output in a parseable format, like JSON, or even force it to follow a specific JSON schema
Provide a model with functions it can call on demand to retrieve information of perform actions
Embedding support
Great developer experience with full TypeScript support, and complete documentation
Much more

Documentation

Getting started guide
API reference
CLI help
Blog
Changelog
Roadmap

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);