Macaron-V1-Venti

Macaron-V1-Venti 📖 Blog: Introducing Macaron-V1 🚀 Hosted API: Macaron API Platform 🧩 Artifacts: Macaron Artifacts 🛠️ Self-hosted serving: Mixture of LoRA (MoL) serving harness 📄 Technical report: coming soon Macaron-V1-Venti is a 748B-parameter flagship model in the Macaron-V1 family, built for personal intelligence, tool use, coding workflows, and code-native Generative UI. The model uses a Mixture of LoRA (MoL) architecture on top of GLM-5.2, consisting of a 744B-parameter base model and four 1B-parameter LoRA specialists. The specialists cover chat, personal-agent tasks, coding, and GenUI, with an L0 router selecting the most suitable specialist for each new user request. Macaron-V1-Venti follows Macaron-V1-Preview and keeps the routed MoL design while moving to GLM-5.2. It is the first model to be post-trained on GLM-5.2, expanding personal-agent and Generative UI training while aligning model behavior with the production harness used for agentic workflows. Highlights A 748B-parameter flagship model, consisting of a 744B GLM-5.2 base model and four 1B-parameter LoRA specialists across Chat, Agent, Coding, and GenUI. The first model to be post-trained on GLM-5.2, moving Macaron's personal-intelligence stack beyond Macaron-V1-Preview. Model-and-harness co-design: post-trained with MinT and MindForge for production-aligned routing, tool use, UI4A Generative UI, and agent workflows. Long-context post-training infrastructure: the V1 training stack incorporates LongStraw for multi-million-token RL execution, with Venti supporting a 1M context length. Broad evaluation across personal intelligence, agentic tasks, coding, terminal use, and Generative UI; Macaron V1 leads the listed baselines on ChatBench, LivingBench, PinchBench, TerminalBench 2.1, and UI4ABench. Model Overview | Field | Value | |---|---| | Model name | Macaron-V1-Venti | | Organization | MindLab Research | | Release family | Macaron-V1 | | Base model | GLM-5.2 | | Architecture | GLM-5.2 base + Mixture o