Laguna-S-2.1 is an open-weight 256-expert Mixture-of-Experts language model designed for causal text generation. It can be used with standard Hugging Face pipelines, vLLM, and other inference engines. The model is intended for developers and researchers who want to run, fine-tune, or self-host a capable language model without relying on proprietary APIs.
In the Foundation models & chat space, Laguna S takes a focused approach. It focuses on running and experimenting with a high-parameter open-weight language model locally or in custom inference setups. Laguna S is an open-source project aimed at developers. Laguna S is open source under the MIT license. It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by poolside, and it first shipped in 2023. The project is developed in the open on GitHub with 1.1k commits in the last 90 days. Among its 4 catalogued features are Text Generation, mixture of Experts, and Custom Tokenizer.
Summary written by a language model from the project’s public pages.
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