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2,401–2,424 of 6,005 · Most stars

Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.

OneSignal makes engaging customers simple and is the fastest, most reliable service to send push notifications, in-app messages, SMS, and emails. This plugin makes it easy to integrate your Fluter app with OneSignal. https://onesignal.com

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

  • embedded-optimization
  • nonconvex
  • model-predictive-control
  • rust-library

Neovim custom configuration, oriented for full stack developers (Ruby on Rails, ruby, php, html, css, SCSS, javascript)

37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.

  • avx2
  • c
  • cpu-inference
  • gguf

🚨 Design workflows of slog handlers: pipeline, middleware, fanout, routing, failover, load balancing...

  • go
  • golang
  • slog
  • handler