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Yzw202011/OmniSpace

本地优先的全栈 AI 创作工作站:AI对话 · AI漫画 · 漫剧创作 · 写作台 · 知识学习五大模块;vLLM / llama.cpp / Transformers 多引擎本地推理,显存智能调度、舱壁隔离自愈、仅供学习使用,欢迎交流指正。 Why it matters: helps you run models on your own hardware without an API bill.

GitHub description: 本地优先的全栈 AI 创作工作站:AI对话 · AI漫画 · 漫剧创作 · 写作台 · 知识学习五大模块;vLLM / llama.cpp / Transformers 多引擎本地推理,显存智能调度、舱壁隔离自愈、仅供学习使用,欢迎交流指正。(最新进度(除插件系统)受到协议限制,暂时无法提交到仓库)

Stars

505

Last 24h

+8

Last 7 days

+56est.

Forks

6

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    Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Why it matters: helps you run models on your own hardware without an API bill.

  • sgaofen/humanizer-local-model+126est. stars this week

    Rewrites AI drafts so they read like a person wrote them — runs locally, keeps the facts. Why it matters: helps you run models on your own hardware without an API bill.

  • ARahim3/DigUp+4.9kest. stars this week

    Search your Mac by what's in your files: photos, PDFs, recordings, videos and code. On-device, built on Google DeepMind's EmbeddingGemma 2. Why it matters: helps you run models on your own hardware without an API bill.

Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Daily, since Oct 13, 2026 · 497 → 505

Daily star count for Yzw202011/OmniSpace505497Oct 13, 2026Oct 14, 2026

* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.

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About OmniSpace

Yzw202011/OmniSpace is a Python project in the Local LLMs category, created 52 days ago. It has 505 GitHub stars and 6 forks, and gained +56 stars over the last 7 days (early estimate), ranking #9 of 9 Local LLMs repos tracked by OSS Radar this week.

See more trending Local LLMs repos or the top AI repos this week. Looking for something similar? See OmniSpace alternatives.

Language
Python
Category
Local LLMs
Created
Aug 23, 2026
Last code push
24 days ago (Sep 20, 2026)
Latest release
No releases yet

Rising in Local LLMs this week

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  • prabanta-dev/janas+245est. stars this week

    37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Why it matters: helps you run models on your own hardware without an API bill.

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Yzw202011/OmniSpace is #444 of 450 on today's leaderboard.