r/LocalLLaMA · · 1 min read

Qwen3.8-27B at 144 tok/s on an M5 Max MacBook Pro

Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.

Qwen3.8-27B at 144 tok/s on an M5 Max MacBook Pro

Meet Inco Splash, open-source inference engine, built around the model and around Apple silicon.

Up to 3× the decode speed of Ollama, 2× oMLX, and almost 4× when an agent fans out into sub-agents.

Requirements: M3 or newer, macOS 26.4+, 36 GB

Get started with a single command:

brew install incoai/tap/splash

splash serve --model incoai/Qwen3.8-27B-Splash

That is the whole setup. Point your agent at it, works with Claude Code, OpenCode, Codex, or Hermes

Prefer an app? Also, available in LM Studio

Get the latest LM Studio Bionic: lmstudio.ai

Settings > Runtime, download Splash, then download the model. The same engine, inside the app, for local agent work on your Mac.

Blog: inco.ai/blog/splash

submitted by /u/ResearchCrafty1804
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