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Arcee AI has announced the release of DistillKit, an innovative open-source tool designed to revolutionize the creation of efficient, high-performance Small Language Models (SLMs). DistillKit v0.1 allows users to utilize internal representations or logits from a teacher model to augment the learning process. This release follows Arcee AI's previous success with Model Merging and the open-source repository MergeKit. DistillKit aims to make model distillation more accessible and efficient for developers, leveraging the growing availability of large and efficient open models. Notably, a 2B model distilled on only 2T tokens has been reported to outperform GPT-3.5, highlighting the potential of this new tool. The tool is expected to significantly impact the future of Language Learning Models (LLMs).
Arcee AI Released DistillKit: An Open Source, Easy-to-Use Tool Transforming Model Distillation for Creating Efficient, High-Performance Small Language Models Arcee AI has announced the release of DistillKit, an innovative open-source tool designed to revolutionize the creation… https://t.co/sc5gjr2gJp
I'm thrilled to announce the Distillkit. An amazing work that we were able to ship at @arcee_ai . With it, one is able to use internal representation or logits from a teacher model to augment the learning process! Enjoy!! https://t.co/FSzWcxBszo
🚀 Big news from Arcee AI as we release DistillKit v0.1! As many of you know, Arcee AI revolutionized Small Language Models (#SLMs) w/ Model Merging & the open-source repo MergeKit. And today, we bring you another leap forward w/ DistillKit: https://t.co/14zJzpD8Yj 🧵 (1/4) https://t.co/rYOUL8m4vO
