CandleMist

CandleMist

<div "align: center;"> <img src="assets/image.png" width="45%"> &nbsp; &nbsp; <img src="assets/image1.png" width="45%"> </div>

• A simple chatbot built using Rust, in the frontend and the backend.

• Made using candle, leptos, actix, tokio and TailwindCSS.

• Uses quantized Mistral 7B Instruct v0.1 GGUF models.

  Credits

  • This is a fork of MoonKraken/rusty_llama by Code to the Moon.
  • This chatbot uses Mistral GGUF models and the huggingface/candle framework, which includes the candle-transformers crate, whereas the original uses GGML models and the rustformers/llm crate.
  • The frontend has some aesthetic changes, but the overall structure is the same.
  • Colours are from the Tokyo Night colorscheme.

Setup Instructions

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

Hardware

• For CUDA, add the cuda feature for candle_core in Cargo.toml.

candle-core = { git = "https://github.com/huggingface/candle.git", version = "0.6.0", optional = true, features = ["cuda"] }

• For Metal, add the metal feature for candle_core in Cargo.toml.
• For Intel's oneAPI Math Kernel Library, add the mkl feature for candle_core in Cargo.toml.
• For Accelerate, add the accelerate feature for candle_core in Cargo.toml.

Model

• Download any Mistral 7B Instruct v0.1 GGUF model and set the environment variable MODEL_PATH in .env.

  Tested Models

  • mistral-7b-instruct-v0.1.Q4_K_M.gguf
  • dolphin-2.6-mistral-7b.Q4_K_M.gguf

• Download tokenizer.json and set the environment variable in TOKENIZER_PATH in .env.

  Tokenizer

  • Mistral-7B-v0.1/tokenizer.json

TailwindCSS

• Install TailwindCSS with npm install -D tailwindcss.

Run

git clone https://github.com/ShettySach/CandleMist.git
cd CandleMist

npx tailwindcss -i ./input.css -o ./style/output.css

cargo leptos serve --release

4. In your browser, navigate to http://localhost:3000/?

NOTE -

• You can modify parameters such as temperature, seed, top-k, top-p, max history and max response length, and also modify the chat template in 'src/api.rs'.