A 27B Multimodal Model Squeezed Into 5.9 Gigabytes
PrismML's ternary 27B multimodal model lands at 5.9GB with 98.2% of full-precision benchmark performance, and the retention number is the part worth checking.
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PrismML's ternary 27B multimodal model lands at 5.9GB with 98.2% of full-precision benchmark performance, and the retention number is the part worth checking.
A Raspberry Pi 5 listens for garden birds with BirdNET-Go and redraws an e-ink page using hand-cut 1800s illustrations, all running locally.
A pure-C engine with zero dependencies promises frontier MoE models on hardware you already own, and picked up 2,233 stars in a single day.