Mirage
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Headlines · 2
- Cactus Compute releases 22 MB on-device vision model Mirage
Cactus Compute released Mirage, a 51.3M-parameter vision model with a 22 MB weights file for phones, wearables, robots and other consumer devices. The vendor says it performs scene description, object detection, OCR, segmentation, spatial-relation analysis and decision-making in one pass, with end-to-end measurements of 74 ms on a Samsung Galaxy S26 NPU and 107 ms on its CPU. Its HConvGLU encoder shares image features between detection and mask generation, while Simple Attention and Hadamard MLP components support the decoder.
r/LocalLLaMA · 🔥 0 - RunAnywhere opens Trainium2 engine for GLM-5.3-Flash
RunAnywhere developer said the company open-sourced an inference engine that serves the 320B-parameter, 1M-context GLM-5.3-Flash model on one AWS Trainium2 trn2.48xlarge. The project uses fused NKI layer megakernels to reduce a batch-8 decode step from 32.2 ms to 24.2 ms on the author's layout, with reproduction instructions and detailed profiles included. RunAnywhere also reported up to 28.9 agent requests per minute on the self-run SemiAnalysis AgentX benchmark, but the post provides no stock-AWS or GPU baseline.
r/MachineLearning · 🔥 0
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