AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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10月30日 08:16 检查 · 分数为各平台在最后检查时显示的数值。我们不复制帖子正文和评论,原帖删除后此处也会移除。
在您已有的硬件上运行前沿 MoE 模型 — 纯 C,无依赖,专家从磁盘流式加载。体积小,模型大。 🐦
AI 翻译
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
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 ↓查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
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 ↓查看完整 README ↗