From f5dabca420539a309c632db0e707bdc42272e1de Mon Sep 17 00:00:00 2001 From: setzer22 Date: Tue, 14 Mar 2023 12:59:30 +0100 Subject: [PATCH] Add README.md --- README.md | 55 ++++++++++++++++++++++++++++++++++++ doc/resources/llama_gif.gif | Bin 0 -> 452757 bytes 2 files changed, 55 insertions(+) create mode 100644 README.md create mode 100644 doc/resources/llama_gif.gif diff --git a/README.md b/README.md new file mode 100644 index 00000000..08029ef4 --- /dev/null +++ b/README.md @@ -0,0 +1,55 @@ + +> Do the LLaMA thing, but now in Rust 🦀🚀🦙 + +[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/F1F8DNO5D) + +[![Latest version](https://img.shields.io/crates/v/https://crates.io/crates/llama-rs)](https://crates.io/crates/llama_rs) + +![Gif showcasing language generation using llama-rs](./doc/resources/llama_gif.gif) + +**Llama-rs** is a Rust port of the +[llama.cpp](https://github.com/ggerganov/llama.cpp) project. This allows running +inference for Facebook's [LLaMA](https://github.com/facebookresearch/llama) +model on a CPU with good performance. + +Just like its C++ counterpart, it is powered by the +[`ggml`](https://github.com/ggerganov/ggml) tensor library, achieving the same performance as the original code. + +## Getting started + +Make sure you have a rust toolchain set up. + +1. Clone the repository +2. Build (`cargo build --release`) +3. Run with `cargo run --release -- ` + +For example, you try the following prompt: + +``` shell +cargo run --release -- -m /data/Llama/LLaMA/7B/ggml-model-q4_0.bin -p "Tell me how cool the Rust programming language is +``` + +## Q&A + +- **Q: Why did you do this?** +- **A:** It was not my choice. Ferris appeared to me in my dreams and asked me + to rewrite this in the name of the Holy crab. + +- **Q: Seriously now** +- **A:** Come on! I don't want to get into a flame war. You know how it goes, + *something something* memory *something something* cargo is nice, don't make + me say it, everybody knows this already. + +## Known issues / To-dos + +Contributions welcome! Here's a few pressing issues: + +- [ ] The code only sets the right CFLAGS on Linux. The `build.rs` script in + `ggml_raw` needs to be fixed. +- [ ] The quantization code has not been ported (yet). You can still use the + quantized models with llama.cpp. +- [ ] The code needs to be "library"-fied. It is nice as a showcase binary, but + the real potential for this tool is to allow embedding in other services. +- [ ] No crates.io release. 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