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<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ggml.ai</title>
<style>
#main {
margin-left: 10px;
margin-right: 10px;
margin-top: 40px;
margin-bottom: 40px;
}
body {
max-width: 650px;
line-height: 1.2;
font-size: 16px;
margin: 0 auto;
}
p, li {
overflow-wrap: break-word;
word-wrap: break-word;
hyphens: auto;
text-align: justify;
}
p {
margin-top: 0.5em;
margin-bottom: 0.5em;
}
</style>
</head>
<body>
<div id="main">
<h3>GGML - AI at the edge</h3>
<p><a href="https://github.com/ggerganov/ggml"><b>ggml</b></a> is a tensor library for machine learning to enable large models and high performance on
commodity hardware. It is used by <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> and
<a href="https://github.com/ggerganov/whisper.cpp">whisper.cpp</a></p>
<ul>
<li>Low-level cross-platform implementation</li>
<li>Integer quantization support</li>
<li>Broad hardware support</li>
<li>No third-party dependencies</li>
<li>Zero memory allocations during runtime</li>
</ul>
<h4>The <a href="https://github.com/ggerganov/ggml"><b>ggml</b></a> way</h4>
<ul>
<li>
<strong>Minimal</strong>
<p>We like simplicity and aim to keep the codebase as small and as simple as possible</p>
</li>
<li>
<strong>Open Core</strong>
<p>The library and related projects are freely available under the MIT license. The development
process is open and everyone is welcome to join. In the future we may choose to develop
extensions that are licensed for commercial use</p>
</li>
<li>
<strong>Explore and have fun!</strong>
<p>We built <a href="https://github.com/ggerganov/ggml"><b>ggml</b></a> in the spirit of play.
Contributors are encouraged to try crazy ideas, build wild demos, and push the edge of what’s
possible</p>
</li>
</ul>
<h4>Contributing</h4>
<p>Join the development at <a href="https://github.com/ggml-org">ggml-org</a> on GitHub.
<h4>Company</h4>
<p><a href="https://ggml.ai">ggml.ai</a> is a company founded by <a
href="https://github.com/ggerganov">Georgi Gerganov</a> to support the development of <a
href="https://github.com/ggerganov/ggml"><b>ggml</b></a>. <a href="https://nat.org">Nat Friedman</a>
and <a href="https://dcgross.com">Daniel Gross</a> provided the pre-seed funding.</p>
<p>We are currently seeking to hire full-time developers that share our vision and would like to help
advance the idea of on-device inference. If you are interested and if you have already been a
contributor to any of the related projects, please contact us at [email protected] </p>
<h4>Business inquiries</h4>
<p>For any business-related topics, including support or enterprise deployment, please contact us at
</div>
</body>
</html>