Concise monthly summary for 2026-03 focusing on key accomplishments in Blaizzy/mlx-vlm, with emphasis on delivering business value and technical impact.

February 2026 monthly summary for the ml-explore/mlx-lm repository. The month focused on delivering feature work that enhances training flexibility, expands model architectures, and optimizes model usability across Mixtral and Qwen3 MOE deployments. Efforts contributed to a more robust training pipeline, richer model configurability, and improved documentation to reflect new capabilities.

Concise monthly summary for 2026-01 focusing on ml-explore/mlx-lm contributions. Highlights include extraction capability for batched cache items via ArraysCache, integration of XieLU activation into Apertus, and the TeleChat3 model with MLP and attention, along with related tests and configuration support. These efforts improve runtime flexibility, model expressiveness, and deployment configurability, delivering direct business value in model serving and experimentation workflows.