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Rusty Llama Webapp

A simple webapp to showcase the ability to write a simple chatbot webapp using only Rust, TailwindCSS and an Open Source language model such as a variant of GPT, LLaMA, etc.

Setup Instructions

Hardware

By default, the project has Apple's Metal acceleration enabled. If you are not on a macOS system, you may need to disable the metal feature in Cargo.toml. Similarly, if you are on a system with an Nvidia GPU, you may need to add CUDA as a feature (I haven't tested this, anyone who does so feel free to PR an update to this readme).

Rust Toolchain

You'll need to use the nightly Rust toolchain, and install the wasm32-unknown-unknown target as well as the Trunk and cargo-leptos tools:

rustup toolchain install nightly
rustup target add wasm32-unknown-unknown
cargo install trunk cargo-leptos

Model

You'll also need to download a model (in GGML format) of your choice that is supported by the Rustformers/llm Crate.

In the root of the project directory, you'll find a .env file where an environment variable called MODEL_PATH is defined. Replace the value with the full path to the desired model file.

TailwindCSS

Install TailwindCSS with npm install -D tailwindcss

Run

To run the project locally,

  1. run npx tailwindcss -i ./input.css -o ./style/output.css --watch in a terminal - this will build style/output.css and automatically rebuild when a change is detected in input.css
  2. cargo leptos watch in the project directory.
  3. In in your browser, navigate to http://localhost:3000/?

Tested Models

# llma-rust