The latest articles on DEV Community by Vxtzq (@vxtzq). https://dev.to/vxtzq https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4090188%2F7af02819-3b63-4871-9cab-b86968af7fd3.png https://dev.to/vxtzq en Vxtzq Sat, 22 Aug 2026 21:42:16 +0000 https://dev.to/vxtzq/crowdgpt-an-open-source-framework-for-decentralized-collaborative-llm-training-using-consumer-gpus-429p https://dev.to/vxtzq/crowdgpt-an-open-source-framework-for-decentralized-collaborative-llm-training-using-consumer-gpus-429p <p>Hello I'm creating <strong>CrowdGPT</strong>, an open-source project which allows training of a LLM (Large Language Model) in a decentralized way, where each user contributes to making the AI better with whatever data they want.</p> <p>The idea is simple: instead of one machine owning the entire training run, let many people contribute small training jobs and periodically merge those updates into a shared model.</p> <p>The system is based on a centralized server (lightweight) that receives every client training, then "merge them back" to the main model. This system prevents threats or malicious updates by doing cross-client verifications (provides a proof of work).</p> <p>The users that train the model are being put on a leaderboard, rewarding their contribution.</p> <p>Data is taken from a curated dataset on Hugging Face (which means no personal data is ever used during training). However, users can push new text to this dataset (which is then moderated and validated).</p> <p>If you're curious, here is the GitHub: <a href="https://github.com/Vxtzq/CrowdGPT" rel="noopener noreferrer">https://github.com/Vxtzq/CrowdGPT</a></p> <p>Here is the website: <a href="https://www.crowdgpt.net" rel="noopener noreferrer">https://www.crowdgpt.net</a></p> <p>The best way to help me is to either:</p> <ul> <li>Give feedback on what must be changed to make it a fully finished project. I'm mainly looking for criticism: <strong>what would stop you from running this on your own GPU?</strong> </li> <li>Contribute to the project by <strong>becoming a part of the network</strong> (coming soon)</li> <li>Star the repo on GitHub ⭐ It helps a lot :)</li> </ul> ai llm opensource github