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SEA-CLIP-Tiny is a compact multilingual text-vision embedding model for Southeast Asian languages with fewer than 50M parameters, achieving strong retrieval performance across seven languages. The model weights, datasets, and code are publicly released.
Microsoft releases Mage-Flow-Edit-Turbo, a compact 4B-scale generative model for efficient text-to-image generation and instruction-based image editing, achieving state-of-the-art competitive quality through co-designed tokenizer and backbone.
Liquid AI releases LFM2.5-230M, a small 230M parameter model optimized for fast inference on CPUs, NPUs, and GPUs, targeting agentic tasks on devices like phones and robots.