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README.md
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<a href="https://www.linkedin.com/in/nalin-abrol-aa7211164/" target="_blank" style="display: inline-block; margin-top: 0;margin-bottom:0">
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<img src="https://i.ibb.co/9ySFB5J/linkedin-logo.png" alt="LinkedIn" style="width: 20px; height: 20px; vertical-align: middle;margin-top: 0;margin-bottom:0">
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<a href="https://scholar.google.com/citations?user=1b4qBFQAAAAJ&hl=en" target="_blank" style="display: inline-block; margin-top: 0;margin-bottom:0">
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<p style="color: grey; font-size: 15px; margin-bottom: 0; margin-top:0">ex Software Engineer - Plivo <a href="https://www.ycombinator.com/companies/plivo" style="color:grey">(YC S21)</a></p>
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<p style="color: grey; font-size: 15px; margin-top: 0;margin-bottom:0">Published in OHBM 2019<a href="" style="color:grey">↗</a></p>
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<p style="color: grey; font-size: 15px; margin-top: 0">IIIT - Hyderabad, India</p>
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<h1>Artigenz-Coder-DS-6.7B</h1>
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<p>Artigenz team intends to create family of code generation models that can run very fast on local computers.</p>
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<p>Artigenz-Coder-DS-6.7B is the first in this family with 6.7B parameters and <strong>13GB</strong> memory footprint 🌟</p>
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<a href="https://artigenz.github.io/artigenz">HomePage</a>
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<div style="text-align: center;">
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<h2 style="text-align: center;margin-top:40px">About the model</h2>
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<p>Artigenz-Coder-DS-6.7B was finetuned on DeepSeek-Coder-6.7B-Base. The dataset and scripts will be open-sourced soon.</p>
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<p>We have open sourced our model weights on 🤗 HF, checkout <a href="https://huggingface.co/Artigenz/Artigenz-Coder-DS-6.7B">here</a>!</p>
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<h2 style="text-align: center;margin-top:40px">Team</h2>
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<a href="https://www.linkedin.com/in/nalin-abrol-aa7211164/" target="_blank" style="display: inline-block; margin-top: 0;margin-bottom:0">
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<img src="https://i.ibb.co/9ySFB5J/linkedin-logo.png" alt="LinkedIn" style="width: 20px; height: 20px; vertical-align: middle;margin-top: 0;margin-bottom:0">
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<p style="color: grey; font-size: 15px; margin-bottom: 0; margin-top:0">ex Software Engineer - Plivo <a href="https://www.ycombinator.com/companies/plivo" style="color:grey">(YC S21)</a></p>
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<p style="color: grey; font-size: 15px; margin-top: 0;margin-bottom:0">Published in OHBM 2019<a href="" style="color:grey">↗</a></p>
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<p style="color: grey; font-size: 15px; margin-top: 0">IIIT - Hyderabad, India</p>
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<h3 style="text-align: center;margin-top:40px">Special Thanks ❤️</h3>
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<h2>What's Next ❓</h2>
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<p>The dataset and finetuing scripts used to train Artigenz-Coder-DS-6.7B will be released soon for the open-source-community to use freely. 🛠️.</p>
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<p>1B & 3B models from Artigenz family are on the roadmap next with long term goal to enable ⚡ fast local inference for code generation.</p>
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<h2>Special Thanks to the Open Source Community ❤️</h2>
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<p>We extend our deepest gratitude to the open source community, especially the Bigcode Project, Magicoder, Hugging Face, DeepSeek, Wizard Coder, Code Llama that enabled research community to build powerfull LLMs.</p>
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<p>We need many more people to close the gap between proprietry and open source models and we are commited to contribute our bits to the goal.</p>
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<h2>Get in Touch</h2>
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<p>You can reach out to us on LinkedIn or via email for any queries or collaborations! 😊</p>
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<a href="https://www.linkedin.com/in/nikita-agawal-iiith/" target="_blank">
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<img src="https://i.ibb.co/9ySFB5J/linkedin-logo.png" alt="LinkedIn" style="width: 15px; height: 15px;">
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<span style="font-size: 15px;">nikita-agawal-iiith</span>
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<img src="https://i.ibb.co/4TgXkKw/email-icon.png" alt="Email" style="width: 15px; height: 15px;">
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<span style="font-size: 15px;">agarwal1503.nikita@gmail.com</span>
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