bageldotcom
/

paris

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 <img src="bagel_labs_logo.png" alt="Bagel Labs" width="120"/>
 # Paris: A Decentralized Trained Open-Weight Diffusion Model
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   <img src="https://img.shields.io/badge/📄%20Read-Technical%20Report-red?style=for-the-badge" alt="Read Technical Report">
 </a>
-</div>
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 The world's first diffusion model trained entirely through decentralized computation. The model consists of 8 expert diffusion models (129M-605M parameters each) trained in complete isolation with no gradient, parameter, or intermediate activation synchronization, achieving superior parallelism efficiency over traditional methods while using 14× less data and 16× less compute than baselines. [Read our technical report](https://github.com/bageldotcom/Paris/blob/main/paper.pdf) to learn more.
 # Key Characteristics

 - flow-matching
 ---
 <img src="bagel_labs_logo.png" alt="Bagel Labs" width="120"/>
 # Paris: A Decentralized Trained Open-Weight Diffusion Model
   <img src="https://img.shields.io/badge/📄%20Read-Technical%20Report-red?style=for-the-badge" alt="Read Technical Report">
 </a>
 The world's first diffusion model trained entirely through decentralized computation. The model consists of 8 expert diffusion models (129M-605M parameters each) trained in complete isolation with no gradient, parameter, or intermediate activation synchronization, achieving superior parallelism efficiency over traditional methods while using 14× less data and 16× less compute than baselines. [Read our technical report](https://github.com/bageldotcom/Paris/blob/main/paper.pdf) to learn more.
 # Key Characteristics