Tools, frameworks, and models for local AI
4 resources found for "Edge"
Apple Silicon chip with exceptional performance for mobile development and edge inference.
Model for local agents and specialized applications, 1.73B parameters, tri-hybrid architecture (13 gated short convolutions, 5 sliding-window attention, 6 global attention). Explicit agentic post-training (harnesses like Hermes Agent, Pi, OpenClaw), 256K-token context, 16 languages including Italian, ~1GB of RAM at 4-bit. LFM Open License v1.0.
Post-trained 4B robot-policy checkpoint on the Cosmos3-Edge base: from natural-language instructions and visual observations of the DROID robot it generates action trajectories for manipulation tasks. Mixture-of-Transformers architecture (autoregressive tower + diffusion transformer), OpenMDW 1.1 license, commercial and non-commercial use.
Single-board computer with an 8-core ARM Cortex-A76 CPU and 2–16 GB of RAM: the reference for learning and running small local AI models in CPU inference.
