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JetBrains Mellum 2 model impresses with speed and context handling

A user on r/LocalLLaMA has shared positive impressions of JetBrains Mellum 2, a 12B Mixture-of-Experts model. Despite its size, the model demonstrates impressive performance, achieving 111.2 t/s generation speed and maintaining over 100 t/s even with a context window of 131,072 tokens on an AMD Radeon RX 7900 XT. The user highlighted its capability in handling complex tasks like tool calls and data reconstruction, outperforming other models like Qwen3.5-9B on the same hardware. AI

IMPACT This model's strong performance and large context window could influence the development of more efficient and capable local LLMs.

RANK_REASON User review of a specific model release, detailing performance metrics and use cases. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

JetBrains Mellum 2 model impresses with speed and context handling

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/gcavalcante8808 ·

    Jetbrains Mellum 2: a really good and performant model

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u0r3jh/jetbrains_mellum_2_a_really_good_and_performant/"> <img alt="Jetbrains Mellum 2: a really good and performant model" src="https://preview.redd.it/h41a3vo5t56h1.png?width=140&amp;height=37&amp;auto=webp…