# Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains

DevFeed: [Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains](<https://devfeed.tech/articles/introducing-mellum2-a-12b-mixture-of-experts-model-by-jetbrains-7013.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/JetBrains/mellum2-launch>)

Author: Nikita Pavlichenko

Published: 2026-06-01T15:45:17Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [Low-Latency Inference](<https://devfeed.tech/topics/low-latency-inference.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Routing (disambiguation)](<https://devfeed.tech/topics/routing.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [code-completion](<https://devfeed.tech/topics/code-completion.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [code](<https://devfeed.tech/tags/code.md>), [code-generation](<https://devfeed.tech/tags/code-generation.md>), [coding](<https://devfeed.tech/tags/coding.md>), [inference](<https://devfeed.tech/tags/inference.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency-inference](<https://devfeed.tech/tags/low-latency-inference.md>), [mixture-of-experts](<https://devfeed.tech/tags/mixture-of-experts.md>), [model](<https://devfeed.tech/tags/model.md>), [rag](<https://devfeed.tech/tags/rag.md>), [routing](<https://devfeed.tech/tags/routing.md>), [software](<https://devfeed.tech/tags/software.md>)

## AI overview

JetBrains introduces Mellum2, a 12B-parameter Mixture-of-Experts model trained from scratch on natural language and code. It activates 2.5B parameters per token to provide efficient, low-latency inference for routing, retrieval-augmented generation, summarization, sub-agent tasks, and high-throughput coding features. The model is released under the Apache 2.0 license and is reported to deliver competitive benchmark performance with more than twice the inference speed of similarly sized models.

## Source excerpt

- Mellum2 is a 12B-parameter Mixture-of-Experts model trained from scratch on natural language and code. - The model activates only 2.5B parameters per token, making it efficient for high-throughput, low-latency inference. Mellum2 is can be used for routing, RAG, summarization, sub-agents, high-throughput coding features, and private deployments. - It is released under the Apache 2.0 license.