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Mellum2 offers a scalable approach to large language models that can reduce computational costs.
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Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
JetBrains has launched Mellum2, a 12 billion parameter Mixture-of-Experts (MoE) model. This model aims to improve efficiency and scalability in large language models. Mellum2 is now available on Hugging Face for developers and researchers to use and experiment with.
Hugging Face Blog
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Hugging Face
Market lens
It enables companies to deploy powerful AI models more efficiently, potentially lowering infrastructure expenses.
Operator take
Organizations working with large-scale language models should consider testing Mellum2 for improved performance and cost savings.
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Sources in this thread (1): Hugging Face Blog
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Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
JetBrains has launched Mellum2, a 12 billion parameter Mixture-of-Experts (MoE) model. This model aims to improve efficiency and scalability in large language models. Mellum2 is now available on Hugging Face for developers and researchers to use and experiment with.
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Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
JetBrains has launched Mellum2, a 12 billion parameter Mixture-of-Experts (MoE) model. This model aims to improve efficiency and scalability in large language models. Mellum2 is now available on Hugging Face for developers and researchers to use and experiment with.