Tensorplex Labs) is proud to announce that its latest top-performing model on Bittensor Subnet 9, Sumo-T9-7B, has outperformed notable models such as TII Falcon 7B and Meta’s Llama-2-7b-hf. This achievement highlights the potential of decentralized networks like Bittensor and underscores Tensorplex Labs’ commitment to advancing open-source AI technologies. «Sumo» represents the family of models developed by Tensorplex, and «T9» designates the top-performing model specifically trained for Bittensor Subnet 9. Bittensor Subnet 9 serves a unique role within the Bittensor ecosystem by rewarding miners who produce pretrained foundational models on the Falcon Refined Web dataset. This subnet functions as a continuous benchmark, where miners are incentivized to achieve the best performance metrics using a model under the parameter limit. The competitive nature of Subnet 9 drives rapid advancements and refinements in large language model training. Since the parameter limit was upgraded to 7 billion on April 19, 2024, Tensorplex Labs has published the top-performing model, surpassing the performance of notable models such as Falcon 7B and Llama 2 7B within less than a month. — Developed by:…
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Автор: tensorplex-labs
Теги: llama, pretrained, 7B, English, base-model, bittensor, decentralized AI, conversational
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
