rotative
huggingface blog · 2026年6月1日

JetBrains Mellum2 实现 2 倍推理加速

jetbrains 发布了 mellum2,一个 12b 开放混合专家模型,每个 token 仅激活 2.5b 参数。这使得它能在更大的 ai 栈中实现低延迟的路由、rag 和代理子任务。

read in English · 繁體中文 · 日本語 · 한국어

jetbrains released mellum2, a 12b-parameter mixture-of-experts model trained from scratch on natural language and code, available under the apache 2.0 license. by activating only 2.5b parameters per token, the architecture achieves over 2x faster inference compared to similarly sized models, targeting high-frequency, low-latency tasks like prompt routing, context compression, and tool selection. the release signals a shift toward 'focal' models that handle specific agent subtasks efficiently rather than relying solely on large frontier models for every step in a pipeline. developers can now deploy this model for private coding assistance or as a lightweight orchestration layer to reduce serving costs in complex ai systems.

read at source ↗

← rotative