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<title>Project OpenTARS</title>
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<img class="banner" src="https://huggingface.co/spaces/OpenTARS/README/resolve/main/banner.png" alt="openTARS: a local AI assistant for your computer">
<h1>Project OpenTARS</h1>
<p><strong style="color:var(--text)">openTARS is an open source AI assistant that runs on your own computer.</strong> Ask in your own words: it opens programs, clicks buttons by their name, types, searches the web, runs commands and looks at your screen. By default nothing leaves your machine, and there is no account or subscription. It runs on Linux, Windows and macOS.</p>
<h2>Models</h2>
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<a class="card" href="https://huggingface.co/OpenTARS/Gargantua-2"><b>Gargantua 2</b><span>The main model: Qwen3.5 2B fine-tuned for the assistant, with vision.</span><em>1.2 GB + 0.36 GB vision</em></a>
<a class="card" href="https://huggingface.co/OpenTARS/Gargantua-2-Lite"><b>Gargantua 2 Lite</b><span>A 0.8B model that runs on the CPU, for computers without a graphics card.</span><em>0.5 GB + 0.12 GB vision</em></a>
<a class="card" href="https://huggingface.co/OpenTARS/Murph"><b>Murph</b><span>A tiny request classifier that picks the kind of task in 0.2 ms, with no GPU.</span><em>4 MB</em></a>
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<p class="note">The models are GGUF files with SHA-256 checksums. Every model card lists the tests we ran and the known limits. They are our own tests on one machine, not public benchmarks.</p>
<h2>The app</h2>
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<a href="https://project-opentars.github.io/OpenTARS/">Website and downloads</a>
<a href="https://github.com/project-opentars/OpenTARS">GitHub (MIT)</a>
<a href="https://huggingface.co/OpenTARS/openTARS">App mirror on Hugging Face</a>
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The openTARS code is MIT. The Gargantua models are Apache-2.0, based on Qwen3.5 (Apache-2.0).
Contact: <a class="mail" href="mailto:projectopentars@gmail.com">projectopentars@gmail.com</a>
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