SwiftLM ⚡️ – A Native Swift MLX Inference Server (0 Python, 100% Metal)
https://github.com/SharpAI/SwiftLM
april 2026 ‧ reddit swift imported ‧ open in karakeep
From Reddit saved post — r/swift, u/solderzzc, Apr 08 2026
https://www.reddit.com/r/swift/comments/1sg392c/swiftlm_a_native_swift_mlx_inference_server_0/
SharpAI's SwiftLM is a native Swift inference server optimized for Apple Silicon that supports MLX models with an OpenAI-compatible API, delivering high performance without Python runtime or GIL overhead. It features TurboQuant KV cache compression and SSD streaming for efficiently handling large 100B+ parameter MoE models, significantly improving throughput, memory usage, and time-to-first-token compared to baseline performance. Benchmarking on Apple Silicon, especially with the gemma-4-26b-a4b-it-4bit model, shows up to 2.4× speedup and major memory savings using TurboQuant, enabling fast, scalable LLM inference on macOS and iOS devices.
⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache compression, MACOS + iOS iPhone app. - SharpAI/SwiftLM
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