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Mellum2 offers a scalable approach to large language models that can reduce computational costs.
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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.

Mellum2 offers a scalable approach to large language models that can reduce computational costs.
Hugging Face
It enables companies to deploy powerful AI models more efficiently, potentially lowering infrastructure expenses.
Organizations working with large-scale language models should consider testing Mellum2 for improved performance and cost savings.
Sources in this thread (1): Hugging Face Blog
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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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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.