neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
Run frontier open models on hardware you already own. Nine families, up to 2.8T parameters, pure C, zero dependencies.
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Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
Taken from the repository README
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Tiny engine, immense model. Run frontier MoE models — 744B to 2.8T
parameters — on consumer and heterogeneous hardware, in pure C with zero
engine dependencies, by treating storage, RAM, and VRAM as a single inference
hierarchy (AI memory multitiering).
Nine families run today: GLM-5.2/5.3 (744B), GLM-5.3-Flash (321B, with
vision), Inkling (975B), Kimi K3 (2.8T), DeepSeek V4 Flash (284B), DeepSeek V4.1 Flash (552B, with vision),
Qwen3.8-Flash-Next (125B + 51B n-gram), Qwen3.6 (35B-A3B) and
OLMoE (7B) —
one C file each, the same coli chat / coli serve / coli web front end.
Full roster ↓Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Tiny engine, immense model. Run frontier MoE models — 744B to 2.8T
parameters — on consumer and heterogeneous hardware, in pure C with zero
engine dependencies, by treating storage, RAM, and VRAM as a single inference
hierarchy (AI memory multitiering).
Nine families run today: GLM-5.2/5.3 (744B), GLM-5.3-Flash (321B, with
vision), Inkling (975B), Kimi K3 (2.8T), DeepSeek V4 Flash (284B), DeepSeek V4.1 Flash (552B, with vision),
Qwen3.8-Flash-Next (125B + 51B n-gram), Qwen3.6 (35B-A3B) and
OLMoE (7B) —
one C file each, the same coli chat / coli serve / coli web front end.
Full roster ↓Read the full README ↗