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| title: README |
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| <p align="center"> |
| <img alt="poolside-banner" src="https://poolside.ai/assets/laguna/poolside-banner.svg" width="800px"> |
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| Welcome to the official Hugging Face organization for Poolside’s open models. |
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| *Visit our [models page](https://poolside.ai/models) to learn more about model building at Poolside.* |
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| > [!NOTE] |
| > **New**: read our [technical report](https://poolside.ai/assets/laguna/laguna-m1-xs2-technical-report.pdf) on Laguna M.1 and Laguna XS.2. |
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| ## Poolside Research Hackathon |
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| Poolside is hosting a 2-day model research hackathon in London. |
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| Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab. |
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| - Dates: **May 29–30** |
| - Partners: @nvidia + @PrimeIntellect + @huggingface |
| - Prize: NVIDIA DGX Spark |
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| [Sign up on Luma](https://luma.com/poolsidehackathon). |
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| Follow submissions on our [Hackathon page](https://huggingface.co/poolside-laguna-hackathon). |
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| ## Laguna XS.2 |
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| [Our first open-weight model](https://huggingface.co/poolside/Laguna-XS.2): Laguna XS.2 (33B-A3B), designed for agentic coding and long-horizon work on a local machine. It uses Sliding Window Attention with per-head gating in 30 out of 40 layers for fast inference and low KV cache requirements. |
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| *[Release blog post](https://poolside.ai/blog/laguna-a-deeper-dive)*. |
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