# Helldez/BigMoeOnEdge

<https://repo.masters-masters.com/en/repos/Helldez/BigMoeOnEdge>

[Home](https://repo.masters-masters.com/en) › [Helldez](https://repo.masters-masters.com/en/owners/Helldez) › [BigMoeOnEdge](https://repo.masters-masters.com/en/repos/Helldez/BigMoeOnEdge)

Helldez/BigMoeOnEdge has 707 stars on GitHub. Its RepoMasters card: Beta tier. Run MoE models bigger than your RAM. Frontier-size MoE on a phone, laptop…

| Field | Value |
| --- | --- |
| Owner | [Helldez](https://repo.masters-masters.com/en/owners/Helldez) |
| Stars | 707 |
| Forks | 81 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | android, cpp, edge-ai, gguf, inference, llama-cpp, llm, mixture-of-experts, moe, on-device-ai |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Helldez/BigMoeOnEdge](https://github.com/Helldez/BigMoeOnEdge) |

## Repository

Run MoE models bigger than your RAM. Frontier-size MoE on a phone, laptop, edge. Lossless, on stock llama.cpp. An adaptive streaming optimizer. Any hardware, any OS, any model, any quantization, behind a local OpenAI-compatible server.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.