#Swift

Ling-flash-2.0 MXFP4 (bailing_moe) on SwiftLM + M1 Max 64GB: working config, support check, --stream-experts notes

Hands-on running inclusionAI Ling-flash-2.0 (100B / 6.1B active, MXFP4 quant, 54.7GB) on SwiftLM via mlx-swift-lm on an M1 Max 64GB. Covers bailing_moe + MXFP4 support check in mlx-swift, the startup surprise, and what --stream-experts actually saves.

Running SwiftLM on M1 Max 64GB and Comparing It to Ollama and MLX-lm

A hands-on build and run of the Swift-based LLM inference server SwiftLM on an M1 Max 64GB. Covers Qwen3.6-35B-A3B and Qwen3.5-122B-A10B, with the same BST, BBS, and persona tests used in the existing Ollama and MLX-lm write-ups.

SwiftLM is a Swift-based LLM inference server that integrates TurboQuant and SSD streaming into Metal shaders

SwiftLM, an Apple Silicon–only MLX inference server, provides a native Metal implementation of TurboQuant V2+V3 hybrid KV‑cache compression and NVMe SSD expert streaming.

macOS app "Blitz" that lets AI agents handle everything from building iOS apps to submitting them to the App Store

blitzdotdev/blitz-mac is a native macOS app that lets an AI agent handle everything from simulator management to DB operations to App Store Connect submission. Integrates with Claude Code via MCP to automate the entire iOS app development lifecycle.

Running NDLOCR-Lite in an iOS Native App for On-Device OCR

Bundling NDLOCR-Lite's DEIMv2 + PARSeq with ONNX Runtime Mobile in an iOS app to run camera capture → perspective correction → layout detection → text recognition → confidence-based correction entirely on device.