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.
| 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 [link] [comments] |
More from r/LocalLLaMA
-
The AI race: China's open-weight models trail US closed models by just 7 months
Oct 14
-
Anthropic Executive Says Open-Source AI Models Are Higher Risk
Oct 14
-
ComfyUI v0.40.0 released
Oct 14
-
So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
Oct 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.