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This paper introduces Macaron-V1, an open continual learning agent-model family using Mixture-of-LoRA to compose specialist adapters on frozen base models, with recursive self-improvement and model-harness co-design.
MindLab Research releases Macaron-V1-Tall, a Mixture of LoRA model built on Qwen3.6-35B-A3B, featuring four specialists for chat, agent, coding, and GenUI tasks with a context length of 262K.
MindLab releases Macaron-V1-Preview-749B, a Mixture-of-LoRA personal agent model built on a 744B base with 5 specialist LoRAs, featuring generative UI as a core skill and 202K context, under MIT license.