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incoai/splash — GitHub trending stats & insights | Trendshift
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incoai/splash
#
Local LLM
A local inference engine for Apple silicon, built around the model.
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Python
105
1
2 contributors
Apache License 2.0
website
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Recent discussions about this repository across the web
Head to Settings > Runtime > Experimental backends to get the Splash engine. Download supported models by searching "incoai". Recommended specs: - M3 or newer Mac on macOS 26.4 - 36GB+ RAM
@lmstudio · x.com
Local models can now handle agentic workloads. Local inference engines need to catch up. Today we’re releasing Splash: model-optimized Apple silicon serving, powered by DFlash2. 2× faster than the…
@jianchen1799 · x.com
Same Mac. Same model. 2×. Qwen3.8-27B decode on a 48 GB M5 Pro, short prompts: Splash 74 tok/s · oMLX 38 · Ollama 24 · uzu 19 The lead holds to 32K, where Splash still does 54 tok/s, above every…
@inco_ai · x.com
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