Laguna
Models for agentic programming: they edit code in a repository on their own. The small XS runs on a Mac with 36 GB of memory; S 2.1 has a 1M-token context.
- Developer
- Poolside, USA
- First release
- Apr 2026
- Latest release
- Jul 2026
- Sizes
- 33B-A3B – 225B-A23B
- License
- Commercial use allowedLaguna XS.2 and M.1: Apache 2.0; Laguna XS 2.1 and S 2.1: OpenMDW-1.1 (free commercial use)
- Russian
- Not stated
- Ready-made builds
- GGUF, AWQ, MLX (Apple)
- Running
- On your own serverNeeds a GPU
- Industries
- Software development
What it does
- Coding agent for in-house development
- Bug fixing and code improvements
- Working with large codebases
Where it is used
Hardware requirements
Versions
- Laguna S 2.1
- Laguna XS 2.1
- Laguna M.1
- Laguna XS.2
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can Laguna be used in a commercial project?
Yes. License: Laguna XS.2 and M.1: Apache 2.0; Laguna XS 2.1 and S 2.1: OpenMDW-1.1 (free commercial use). It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Laguna need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Laguna support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download Laguna and what does it cost?
The Laguna weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
The broadest open coding family: from 0.5B for autocompletion to 480B for agents. Qwen3-Coder-Next (80B, 3B active) works as a developer agent on a single GPU.
DetailsCodeDevstralMistral AI (with All Hands AI) · FranceCommercial use with conditionsMistral models for agentic development: they read the repository, edit files and run commands on their own. The 24B version fits on a single GPU.
DetailsCodeKAT-Coder / KAT-DevKwaipilot (Kuaishou) · ChinaCommercial use allowedKuaishou models for agentic development, trained to solve real tasks in repositories. KAT-Coder-V2.5-Dev (35B, 3B active) is the open version of their closed flagship.
DetailsSource: huggingface.co/poolside/Laguna-S-2.1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


