From: Shelby Jenkins <redacted>
Date: Tue, 4 Feb 2025 11:20:55 +0000 (-0600)
Subject: readme : add llm_client Rust crate to readme bindings (#11628)
X-Git-Tag: upstream/0.0.4719~84
X-Git-Url: https://git.djapps.eu/?a=commitdiff_plain;h=106045e7bb8db481bb2ebbc60e3b53cb27ada117;p=pkg%2Fggml%2Fsources%2Fllama.cpp

readme : add llm_client Rust crate to readme bindings (#11628)

[This crate](https://github.com/ShelbyJenkins/llm_client) has been in a usable state for quite awhile, so I figured now is fair to add it.

It installs from crates.io, and automatically downloads the llama.cpp repo and builds it for the target platform - with the goal being the easiest user experience possible.

It also integrates model presets and choosing the largest quant given the target's available VRAM. So a user just has to specify one of the presets (I manually add the most popular models), and it will download from hugging face.

So, it's like a Rust Ollama, but it's not really for chatting. It makes heavy use of llama.cpp's grammar system to do structured output for decision making and control flow tasks.
---

diff --git a/README.md b/README.md
index 7f306d19..d68330d2 100644
--- a/README.md
+++ b/README.md
@@ -136,6 +136,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo
 - Rust (more features): [edgenai/llama_cpp-rs](https://github.com/edgenai/llama_cpp-rs)
 - Rust (nicer API): [mdrokz/rust-llama.cpp](https://github.com/mdrokz/rust-llama.cpp)
 - Rust (more direct bindings): [utilityai/llama-cpp-rs](https://github.com/utilityai/llama-cpp-rs)
+- Rust (automated build from crates.io): [ShelbyJenkins/llm_client](https://github.com/ShelbyJenkins/llm_client)
 - C#/.NET: [SciSharp/LLamaSharp](https://github.com/SciSharp/LLamaSharp)
 - C#/VB.NET (more features - community license): [LM-Kit.NET](https://docs.lm-kit.com/lm-kit-net/index.html)
 - Scala 3: [donderom/llm4s](https://github.com/donderom/llm4s)