airllm

AirLLM AirLLM is a Python library for running very large language models on consumer GPUs with limited memory by loading model layers sequentially instead of keeping the entire model in VRAM. lyogavin/airllm

AirLLM AirLLM is a Python library for running very large language models on consumer GPUs with limited memory by loading model layers sequentially instead of keeping the entire model in VRAM. lyogavin/airllm

Does AirLLM offer a truly useful speed? I saw in a YouTube video that someone claimed Llama 3.1 405B could run even with 8GB of VRAM. So, what is the actual speed like, and how is this even possible?

这周 GitHub 上涨星最猛的 10 个 AI 开源项目 每个一分钟讲清楚：它是干什么的、为什么火、装上之后你的 AI 能多做什么。每个项目都配了一台等距机械动画，用机器的动作把原理演出来。 ⏱ 时间戳 00:00 开场：本周 GitHub 涨星 TOP 10 00:35 01 REA：让 AI 逆向任何 App，一直拆到二进制 01:41 02 skills：让 AI 先问清楚、再写测试的编程技能包 02:42 03 diagram-design：一句话让 AI 画出专业图解 03:39 04 OpenMontage：把 AI 编程助手变成视频工作室 04:38 05 claude-mem：给 AI 加上跨对话的长期记忆 05:29 06 free-claude-code：用免费额度跑 Claude Code 这类编程工具 06:29 07 knowledge-work-plugins：Anthropic 官方出的 11 个岗位插件 07:29 08 AirLLM：4GB 显卡跑 70B 大模型 08:33 09 text-to-cad：一句话生成能加工的 3D 零件 09:28 10 OpenSRE：让 AI 帮你排查线上故障 10:29 结尾 🔗 项目链接 01 REA：morluto/rea 02 skills：mattpocock/skills 03 diagram-design：cathrynlavery/diagram-design 04 OpenMontage：calesthio/OpenMontage 05 claude-mem：thedotmack/claude-mem 06 free-claude-code：Alishahryar1/free-claude-code 07 knowledge-work-plugins：anthropics/knowledge-work-plugins 08 AirLLM：lyogavin/airllm 09 text-to-cad：earthtojake/text-to-cad 10 OpenSRE：Tracer-Cloud/opensre 📌 说明 星数截至 2026 年 10 月 16 日，本周增量来自 GitHub Trending。 free-claude-code 不是 Anthropic 官方项目；AirLLM 的 125B 模型 6GB 训练指的是 LoRA 微调。 这 10 个里，你最想先装哪一个？评论区聊聊。 #GitHub #AI #开源项目 #ClaudeCode #AI编程

4GB 显存，跑 2.8 万亿参数的 Kimi K3 AirLLM 的办法是逐层从硬盘流式加载，显存只占 3.72GB DeepSeek 671B 也只要 12GB 代价写在明面上：能跑，和能用，是两回事 但 4060 laptop 能加载完 2.8T 这件事本身，已经够发一条了 lyogavin/airllm

AirLLM: Run Large Language Models on a Small GPU #Shorts AirLLM: Run Large Language Models on a Small GPU. Technique/tooling for running large language models with reduced memory requirements. GitHub: lyogavin/airllm 💡 Why it's useful: Helpful when GPU memory is limited; enables larger-model experimentation. ⚠️ Keep in mind: Performance can be slower and setup/model support varies. Which repo should we break down next? Tell us in the comments. Subscribe to @developerosindia for one AI GitHub repo explained every day. #Shorts #LocalLLM #LLM #GitHub #OpenSource

GitHub Trending Summary - Daily - 2026-10-12 GitHub Trending, daily report for October twelfth. This episode covers eight of the nine repositories selected from today's snapshot. Agent-facing tools are the strongest thread, led by R-E-A's unusually large reported daily gain, alongside tools for creative work and diagram production. Chapters 00:00 Headline 00:37 morluto/rea 01:21 storytold/artcraft 02:00 cathrynlavery/diagram-design 02:35 bilawalsidhu/gods-eye-view 03:06 lyogavin/airllm 03:40 Alishahryar1/free-claude-code 04:10 mksglu/context-mode 04:36 open-webui/open-webui 04:56 Trending Technologies and Themes 05:49 Takeaway 06:16 Sources Repositories 1. morluto/rea morluto/rea 2. storytold/artcraft storytold/artcraft 3. cathrynlavery/diagram-design cathrynlavery/diagram-design 4. bilawalsidhu/gods-eye-view bilawalsidhu/gods-eye-view 5. lyogavin/airllm lyogavin/airllm 6. Alishahryar1/free-claude-code Alishahryar1/free-claude-code 7. mksglu/context-mode mksglu/context-mode 8. open-webui/open-webui open-webui/open-webui #github #opensource #technology

Run a 70B model on a 4GB GPU? This open-source GitHub repo actually does it Run a 70B model on a 4GB GPU? This open-source GitHub repo actually does it lyogavin/airllm #github #opensource #githubtrending #developer #programming #coding #ai #llm #machinelearning #deeplearning #gpu #softwaredevelopment

今日のGitHubトレンド lyogavin/airllm AirLLMは、大規模言語モデルの推論におけるメモリ使用量を大幅に削減するためのライブラリです。 量子化や蒸留、プルーニングを用いずに、70B規模のモデルを4GBのGPUで動作させることが可能です。 また、小容量のVRAM環境で巨大なモデルを学習させる機能も提供しています。

70B 模型塞进 4G 显存，AirLLM 的方法很直接：一层一层加载，用完就换下一层，不量化也不剪枝。 代价就是速度慢，离线跑批可以，拿来聊天不行。README 里说 DeepSeek-V3 671B 大概 12G 也能跑。 pip install airllm GitHub：lyogavin/airllm t.co