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README.md
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Committed to open source, we have released fine-tuned model weights based on six distinct open-source LLM models, weights that were state-of-the-art for their size at the time of publication.
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Our efforts extend to less common research topics, including computation-based model architecture modifications, ViT-agnostic multi-modal training, and large-scale synthetic data scaling.
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To support further research, we have also freely released multiple synthetic datasets in niche areas, representing a total synthetic cost of no less than $50k.
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While this is for the purpose of commercial exploration and technology selection, we are currently under no immediate pressure to generate profit and remain committed to sharing more with the open-source community.
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