repowiseedge0-ai/edge0

edge0-ai / edge0 Architecture and code health

Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported

Python★ 8,808
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github.com/edge0-ai/edge0Indexed at d4a2fa0Up to date with upstream

About this codebase

edge0 is a streaming MoE inference engine: it takes a sparse mixture-of-experts checkpoint, its trained Recover-LoRA adapters and prerouter heads, streams expert weights from SSD on demand, and produces generated text through a local HTTP API and native chat applications, so large models run on consumer hardware with peak memory bounded by the active expert set rather than the parameter count.

Written by a model from the index

819 files and 11,054 symbols in 5 modules, led by C++ (419 files) and Python (80).

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Code health

6.8out of 10Fair

Hotspots average 6.0, the place fixes pay off most.

Full health report

On the leaderboards:#30 of 57 Python repos

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How edge0-ai/edge0 works

The codebase has 819 files and 11,054 symbols in 5 modules, led by C++, Python and TypeScript. Code health is 6.8 out of 10, rated fair.

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