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Microsoft unveils Mage, a family of compact 4B-parameter multimodal models for visual understanding and generation, designed for easy training and deployment on modest hardware while staying competitive with larger open models.
Microsoft releases Mage, a family of lightweight 4B-parameter multimodal models for visual understanding and generation, including Mage-VL for image/video understanding and Mage-Flow for text-to-image generation and editing, designed for research and deployment on modest hardware.
HauhauCS releases an uncensored variant of Google's Gemma-4-E4B model with aggressive safety removal, featuring custom K_P quantizations optimized for quality preservation and broader hardware compatibility.