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Vietnamese_Reranker is an reranker model fine-tuned from the bge-reranker-v2-m3 model (https://huggingface.co/BAAI/bge-reranker-v2-m3) to enhance retrieval capabilities for Vietnamese. Although the score on the legal domain drops a bit on Vietnamese_Embedding_v2 (Phase 2), since this phase data is much larger, it is good for other domains.
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About this version • Merged over 50 selected latest versions of SDXL models using the recursive script employed in V3. GOAL Stable Diffusion XL has 3.5 billion parameters (excluding the Refiner), which is about 3.6 times more than the SD v1.5 version. I believe that this is not just a number, but a number that can lead to a significant improvement in performance. It has been a while since we realized that the overall performance of SD v1.5 has improved beyond imagination thanks to the explosive contributions of our community. Therefore, I am working on completing this AlbedoBase XL model in order to optimally reproduce the performance improvement that occurred in v1.5 in this XL version as well.
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For business inquires, commercial licensing, custom models, and consultation contact me under juggernaut@rundiffusion.com A big thanks for Version XI goes to RunDiffusion and Adam, who diligently helped me test :) (Leave some love for them ;) ) As you may have already noticed, Juggernaut XI has been available on several platforms (NightCafe, Octo API) for the past few weeks. I could tell you a lot about it, but let's keep it simple. I’m now working on this full-time, which means I need to make money from it—not just to pay for the training (which I’m still funding myself) but also to cover my rent and put some food on the table.
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