# Laguna XS Model in OpenCode

> Source: <https://www.dotnetperls.com/2026_7_22_laguna-xs-model-opencode>
> Published: 2026-07-22 07:00:00+00:00

I am continually interested in having a small, **local LLM** (running in `llama-cpp`

) that can edit and add simple features to programs written in Rust and similar languages. Recently support for the **Laguna** models from Poolside AI (an American AI company) was added to `llama-cpp`

. I tried out the smaller version (**Laguna XS**) locally.

I used **OpenCode** and had the model perform a series of **refactoring changes** on the code base. It made **relatively few errors** and almost all of the tool calls worked correctly (it became confused with escaped quotes once, and I don't blame it).

I used the **official GGUF** 4-bit quantized model from Poolside on their Hugging Face page, `Laguna-XS-2.1-Q4_K_M.gguf`

. It weighed in at 20.3 GB (good thing I have fairly fast Internet these days).

Overall, I found **Laguna XS** to **perform well**, probably better than Qwen 3.6 35B, Gemma 4 and North Mini Code. I started feeling more confident in it, and made a series of refactoring changes which mostly worked correctly. It struggled on an open-ended task ("optimize this function") but for more targeted changes, I feel Laguna XS is likely better than the other open-weights models supported by my 12 GB Nvidia GPU.