BigMoeOnEdge alternatives
Curated alternatives to BigMoeOnEdge — and why you'd switch.
colibri
Pure-C, zero-dep MoE runtime that runs GLM-5.2 (744B) on a 25GB-RAM consumer box by streaming experts from disk — VRAM/RAM/NVMe as one tiered hierarchy, never touching precision.
Why switchThe same trick aimed at different hardware: Colibri is a pure-C MoE runtime streaming experts from NVMe to fit a 744B model on a 25 GB desktop; BigMoeOnEdge targets phones on plain CPU and rides llama.cpp's format support instead of its own runtime.
Full comparison →airllm
Layer-by-layer inference that runs 70B models on a 4GB GPU — no quantization required; 405B on 8GB, DeepSeek-V3 671B on ~12GB. One AutoModel line for most open model families.
Why switchTwo ways to run a model that doesn't fit: AirLLM streams transformer layers sequentially to squeeze a 70B onto a 4 GB GPU and works on dense models; BigMoeOnEdge streams only the experts a token selects, which is faster but MoE-only.
Full comparison →mesh-llm
Distributed LLM inference in Rust: pool GPUs across machines into one OpenAI-compatible endpoint — local fit first, mesh routing, and stage splits for models too large for any single box.
Why switchWhen the model exceeds the box you have two moves — borrow more memory or stream from storage. mesh-llm pools GPUs across machines into one endpoint; BigMoeOnEdge assumes you have exactly one device and its flash chip.
Full comparison →