title: Llama description: WebAssembly wrapper for llama.cpp AI models outline: deep

@hpcc-js/wasm-llama

Installation

::: code-group

npm install @hpcc-js/wasm-llama

yarn add @hpcc-js/wasm-llama

pnpm add @hpcc-js/wasm-llama

:::

Quick Start

import { Llama, WebBlob } from "@hpcc-js/wasm-llama";

let llama = await Llama.load();
const model = "https://huggingface.co/CompendiumLabs/bge-base-en-v1.5-gguf/resolve/main/bge-base-en-v1.5-q4_k_m.gguf";
const webBlob: Blob = await WebBlob.create(new URL(model));

const data: ArrayBuffer = await webBlob.arrayBuffer();

const embeddings = llama.embedding("Hello and Welcome!", new Uint8Array(data));

const reply = llama.chat("Summarize this package in one sentence.", new Uint8Array(data), {
	systemPrompt: "You are a concise assistant.",
	args: ["--temp", "0.2"]
});

const session = llama.createChatSession(new Uint8Array(data), {
	systemPrompt: "You are a concise assistant.",
	args: ["--temp", "0.2"]
});

const firstReply = session.send("Summarize this package in one sentence.");
const followUp = session.send("Now restate that as three bullet points.");

const result = llama.main(["--help"]);
console.log(result.stdout);

Reference

• API Documentation