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Duplicate from Motif-Technologies/Motif-Vision-6B-Preview

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Co-authored-by: Beomgyu Kim <beomgyu-kim@users.noreply.huggingface.co>

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  1. .gitattributes +35 -0
  2. LICENSE +51 -0
  3. README.md +56 -0
  4. checkpoint.bin +3 -0
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LICENSE ADDED
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+ ---
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+ title: MIT License
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+ spdx-id: MIT
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+ featured: true
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+ hidden: false
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+ description: A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.
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+ how: Create a text file (typically named LICENSE or LICENSE.txt) in the root of your source code and copy the text of the license into the file. Replace [year] with the current year and [fullname] with the name (or names) of the copyright holders.
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+
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+ using:
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+ Babel: https://github.com/babel/babel/blob/master/LICENSE
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+ .NET: https://github.com/dotnet/runtime/blob/main/LICENSE.TXT
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+ Rails: https://github.com/rails/rails/blob/master/MIT-LICENSE
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+ permissions:
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+ - commercial-use
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+ - modifications
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+ - distribution
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+ - private-use
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+ conditions:
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+ - include-copyright
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+
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+ limitations:
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+ - liability
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+ - warranty
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+
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+ ---
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+
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+ MIT License
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+
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+ Copyright (c) 2025 Motif Technologies
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ The above copyright notice and this permission notice shall be included in all
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ SOFTWARE.
README.md ADDED
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+ ---
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+ license: mit
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+ license_name: mit
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+ license_link: LICENSE
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+ language:
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+ - en
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+ - ko
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+ pipeline_tag: text-to-image
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+ tags:
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+ - text-to-image
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+ - diffusion
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+ - flow-matching
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+ - motif
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+ ---
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+
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+ *Last update: 21st July 2025*
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67eccc30771cc9fc058dc2a5/Tfqp_kHraoiNuvem-SfEu.png)
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+
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+ # New
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+ **Motif Vision 6B-preview** marks the initial step in our “beyond LLM” strategy. This preview version, developed in January 2025, is exactly the same as the one currently deployed in our service: https://model-hub.motiftech.io.
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+
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+ We are actively working on improving the model, and the latest version—along with all accompanying artifacts—will be released in the near future.
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+
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+ ---
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+
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+
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+ ## Introduction
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+
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+ We are excited to introduce **Motif Vision 6B Preview**, a powerful text-to-image model trained entirely from scratch. 🖼️✨
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+
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+ This model leverages a state-of-the-art **MMDiT** (Multi-modal Diffusion Transformer) architecture and utilizes **Flow Matching** for efficient and high-quality image generation. Motif Vision 6B Preview is our latest step in pushing the boundaries of generative AI.
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+
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+ ---
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+
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+ ## Training Information
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+
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+ The model was trained on a large-scale GPU cluster, demonstrating our commitment to developing cutting-edge models.
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+
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+ * **GPUs**: 96 AMD Instinct™ MI250 (24 nodes × 4 GPUs)
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+ * **Training Time**: 90 days
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+
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+ *Notice: A detailed technical report will be released at a later time.*
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+
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+ ---
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+
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+ ## Availability
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+
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+ ### Checkpoints
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+ The model checkpoints are shared directly in this repository and are ready for use.
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+
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+ ### Live Demo
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+ You can try an interactive demo of Motif Vision 6B Preview right now on the **[Motif Model Hub](https://model-hub.motiftech.io/)**.
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+
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+ ### Code Release
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+ The source code for inference and training will be made publicly available soon. Stay tuned for updates!
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