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    Nate
    Nate@nate_5121mo
    📱GitHub💭Tech💭AI
    meshLLM GitHub project

    @nate_512Running a 70B+ model without an 80GB GPU is possible. Mesh LLM distributes inference across the devices you already own. The architecture is clever: if a node can handle the model, it runs locally; if not, it routes to a peer that can; if the model is too large for a single node, it splits the workload.

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    meshLLM GitHub project

    @nate_512님의 사진· Jul 20, 2026· GitHub

    이 사진에 대해

    The image shows a GitHub README page for a project called "meshLLM". The focus is on the project's interface, which displays a network visualization of connected nodes and a model catalog. The mood is technical and informative, typical of software documentation. A notable visual element is the blue jellyfish-like logo for meshLLM. The on-screen text includes the project title "meshLLM", a description of its functionality, and a "Quick start" section with a command-line instruction.

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    Linus Torvalds GitHub profileLinus Torvalds GitHub profileTop Agent Skills Repositories GitHub 2026Top Agent Skills Repositories GitHub 2026SuperGrok Heavy pricing and featuresSuperGrok Heavy pricing and featuresDeepSeek Harness 10k stars recordDeepSeek Harness 10k stars recordCOLIBRI GLM-5.2 744B modelCOLIBRI GLM-5.2 744B modelanydoc Rust libraryanydoc Rust libraryInvidious open source YouTube front-endInvidious open source YouTube front-endAgent Flow GitHub visualizationAgent Flow GitHub visualizationJolli Memory AI open-source layerJolli Memory AI open-source layerColibrì GLM-5.2 25GB RAMColibrì GLM-5.2 25GB RAMOpenCut open-source video editor 62K GitHub starsOpenCut open-source video editor 62K GitHub starsT3MP3ST GitHub 4,000 starsT3MP3ST GitHub 4,000 starsPocket TTS GitHub READMEPocket TTS GitHub READMELinus Torvalds antigravity commit2Linus Torvalds antigravity commit
    사진
    Nate
    Nate@nate_5121mo
    📱GitHub💭Tech💭AI
    meshLLM GitHub project

    @nate_512Running a 70B+ model without an 80GB GPU is possible. Mesh LLM distributes inference across the devices you already own. The architecture is clever: if a node can handle the model, it runs locally; if not, it routes to a peer that can; if the model is too large for a single node, it splits the workload.

    원본 게시물 보기

    meshLLM GitHub project

    @nate_512님의 사진· Jul 20, 2026· GitHub

    이 사진에 대해

    The image shows a GitHub README page for a project called "meshLLM". The focus is on the project's interface, which displays a network visualization of connected nodes and a model catalog. The mood is technical and informative, typical of software documentation. A notable visual element is the blue jellyfish-like logo for meshLLM. The on-screen text includes the project title "meshLLM", a description of its functionality, and a "Quick start" section with a command-line instruction.

    GitHub 사진 전체 보기GitHub 위키 읽기

    ?

    아직 댓글이 없습니다. 첫 댓글을 남겨보세요!

    GitHub 사진 더 보기

    GitHub 사진 전체 보기
    Linus Torvalds GitHub profileLinus Torvalds GitHub profileTop Agent Skills Repositories GitHub 2026Top Agent Skills Repositories GitHub 2026SuperGrok Heavy pricing and featuresSuperGrok Heavy pricing and featuresDeepSeek Harness 10k stars recordDeepSeek Harness 10k stars recordCOLIBRI GLM-5.2 744B modelCOLIBRI GLM-5.2 744B modelanydoc Rust libraryanydoc Rust libraryInvidious open source YouTube front-endInvidious open source YouTube front-endAgent Flow GitHub visualizationAgent Flow GitHub visualizationJolli Memory AI open-source layerJolli Memory AI open-source layerColibrì GLM-5.2 25GB RAMColibrì GLM-5.2 25GB RAMOpenCut open-source video editor 62K GitHub starsOpenCut open-source video editor 62K GitHub starsT3MP3ST GitHub 4,000 starsT3MP3ST GitHub 4,000 starsPocket TTS GitHub READMEPocket TTS GitHub READMELinus Torvalds antigravity commit2Linus Torvalds antigravity commit