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JetBrains has launched the open Mellum2.1 model under the Apache 2.0 license, focusing on running coding agents and sub-agents locally or on users’ own infrastructure. The release is based on reinforcement-learning training in real software environments, with major improvements in handling code repositories and inference speed.
JetBrains has launched Junie Local, which runs the Junie coding agent locally on a Mac using the Qwen3.6-27B model, without sending code or prompts to the cloud. It requires a Mac with an M5 processor and 64 GB of memory, along with a download of approximately 20 GB.
Alibaba’s open Qwen3.8-27B model offers multimodal capabilities, coding, and software-agent functions in a size that can run locally after being compressed to about 17 gigabytes. Despite strong performance indicators, its high token consumption and slow inference impose a practical trade-off between quality and speed.