Wllama

Overview

Wllama is a TypeScript library that provides WebAssembly bindings for llama.cpp, enabling large language model inference directly in the browser. It loads quantized GGUF models and runs them client-side without server dependencies.

Best for

Best for
Developers building privacy-focused or offline web apps that need on-device LLM inference

Use cases

• Running private, offline LLM inference in web applications
• Prototyping browser-based chatbots or text assistants
• Evaluating small to medium models without cloud costs

Notes

Wllama is a TypeScript library that provides WebAssembly bindings for llama.cpp, enabling large language model inference directly in the browser. It loads quantized GGUF models and runs them client-side without server dependencies.

1,095 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Running private, offline LLM inference in web applications
• Prototyping browser-based chatbots or text assistants
• Evaluating small to medium models without cloud costs

Pros

• No server or API key needed; fully client-side
• Leverages llama.cpp’s efficient inference in WebAssembly
• Active community with over 1,000 GitHub stars

Cons

• Limited to models that fit in browser memory (typically small quantized models)
• Performance constrained by client hardware and WebAssembly overhead
• No built-in support for GPU acceleration in most browsers

Indexed from awesome-llm and enriched against its public facts.