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#ramalama — Public Fediverse posts

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  1. ラマラマバンバン |このトレンドを勝ち取ったのは誰ですか 🔥 #ramalama #shorts #cosplay #viral #trending mag.moe/2473436/

  2. ラマラマバンバン |このトレンドを勝ち取ったのは誰ですか 🔥 #ramalama #shorts #cosplay #viral #trending mag.moe/2473436/

  3. ⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
    gomoot.com/ramalama-come-esegu

    #AI #Linux #LLM #mac #opensource #ramalama #windows

  4. ⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
    gomoot.com/ramalama-come-esegu

    #AI #Linux #LLM #mac #opensource #ramalama #windows

  5. ⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
    gomoot.com/ramalama-come-esegu

    #AI #Linux #LLM #mac #opensource #ramalama #windows

  6. ⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
    gomoot.com/ramalama-come-esegu

    #AI #Linux #LLM #mac #opensource #ramalama #windows

  7. ⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
    gomoot.com/ramalama-come-esegu

    #AI #Linux #LLM #mac #opensource #ramalama #windows

  8. Friends Don't Let Friends Use #Ollama sleepingrobots.com/dreams/stop

    For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama ramalama.ai/

  9. Friends Don't Let Friends Use #Ollama sleepingrobots.com/dreams/stop

    For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama ramalama.ai/

  10. Friends Don't Let Friends Use #Ollama sleepingrobots.com/dreams/stop

    For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama ramalama.ai/

  11. Friends Don't Let Friends Use #Ollama sleepingrobots.com/dreams/stop

    For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama ramalama.ai/

  12. Friends Don't Let Friends Use #Ollama sleepingrobots.com/dreams/stop

    For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama ramalama.ai/

  13. Just completed my first Outreachy 2026 task setting up RamaLama

    Here's what I did:
    - Installed RamaLama 0.18.0 on macOS
    - Pulled models using ollama:// and huggingface:// transports
    - Tested Fedora-specific questions
    Both models got the answers wrong which is exactly why RAG exists!

    RamaLama makes running AI models "boring" in the best way possible.
    One command and you're up and running.

    Full documentation here
    github.com/ChinniSree/outreach

    #Outreachy #Fedora #RamaLama #OpenSource #AI

  14. Just completed my first Outreachy 2026 task setting up RamaLama

    Here's what I did:
    - Installed RamaLama 0.18.0 on macOS
    - Pulled models using ollama:// and huggingface:// transports
    - Tested Fedora-specific questions
    Both models got the answers wrong which is exactly why RAG exists!

    RamaLama makes running AI models "boring" in the best way possible.
    One command and you're up and running.

    Full documentation here
    github.com/ChinniSree/outreach

    #Outreachy #Fedora #RamaLama #OpenSource #AI

  15. Just completed my first Outreachy 2026 task setting up RamaLama

    Here's what I did:
    - Installed RamaLama 0.18.0 on macOS
    - Pulled models using ollama:// and huggingface:// transports
    - Tested Fedora-specific questions
    Both models got the answers wrong which is exactly why RAG exists!

    RamaLama makes running AI models "boring" in the best way possible.
    One command and you're up and running.

    Full documentation here
    github.com/ChinniSree/outreach

    #Outreachy #Fedora #RamaLama #OpenSource #AI

  16. Just completed my first Outreachy 2026 task setting up RamaLama

    Here's what I did:
    - Installed RamaLama 0.18.0 on macOS
    - Pulled models using ollama:// and huggingface:// transports
    - Tested Fedora-specific questions
    Both models got the answers wrong which is exactly why RAG exists!

    RamaLama makes running AI models "boring" in the best way possible.
    One command and you're up and running.

    Full documentation here
    github.com/ChinniSree/outreach

    #Outreachy #Fedora #RamaLama #OpenSource #AI

  17. Just completed my first Outreachy 2026 task setting up RamaLama

    Here's what I did:
    - Installed RamaLama 0.18.0 on macOS
    - Pulled models using ollama:// and huggingface:// transports
    - Tested Fedora-specific questions
    Both models got the answers wrong which is exactly why RAG exists!

    RamaLama makes running AI models "boring" in the best way possible.
    One command and you're up and running.

    Full documentation here
    github.com/ChinniSree/outreach

    #Outreachy #Fedora #RamaLama #OpenSource #AI

  18. 🚀 Đã ra mắt SDK Python cho RamaLama AI Containers – công cụ runtime‑agnostic giúp chạy inference AI trên mọi thiết bị, kể cả phần cứng phi chuẩn. Hỗ trợ llama.cpp, vLLM, mlx, tải mô hình từ HuggingFace, Ollama, OCI, chạy offline, async. Thích hợp cho edge và môi trường air‑gapped. #AI #Python #RamaLama #Containers #EdgeComputing #TríTuệNhânTạo #Python #RamaLama #Container #ThiếtBịCạnhMạng

    reddit.com/r/LocalLLaMA/commen

  19. RamaLama là công cụ CLI giúp chạy và xây dựng các mô hình LLM qua container. Bước sœur hỗ trợ MLX kèm llama.cpp, vLLM. Tương thích nhiều thiết bị: GPU Apple Silicon, Nvidia, AMD, Intel, mới hỗ trợ NPU Ascend. Mời cộng đồng thử nghiệm với cấu hình đặc biệt. GitHub: containers/ramalama. Hình thành diễn đàn dev Lukas trong weeks sau. #RamaLama #MLX #LLM #AI #Tech #GitHub #مطور #Container

    reddit.com/r/LocalLLaMA/commen

  20. Raised a bug about #ramalama today not playing well with #arm64 and and #amd gpus. However if you force the base image local inference does use #vulkan to run - and much faster than maxing out the CPU cores on my #altra.

  21. Raised a bug about #ramalama today not playing well with #arm64 and and #amd gpus. However if you force the base image local inference does use #vulkan to run - and much faster than maxing out the CPU cores on my #altra.

  22. Raised a bug about #ramalama today not playing well with #arm64 and and #amd gpus. However if you force the base image local inference does use #vulkan to run - and much faster than maxing out the CPU cores on my #altra.

  23. Raised a bug about #ramalama today not playing well with #arm64 and and #amd gpus. However if you force the base image local inference does use #vulkan to run - and much faster than maxing out the CPU cores on my #altra.

  24. Raised a bug about #ramalama today not playing well with #arm64 and and #amd gpus. However if you force the base image local inference does use #vulkan to run - and much faster than maxing out the CPU cores on my #altra.

  25. Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.

    mojefedora.cz/ramalama-aneb-vy

  26. Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.

    mojefedora.cz/ramalama-aneb-vy

  27. Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.

    mojefedora.cz/ramalama-aneb-vy

  28. Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.

    mojefedora.cz/ramalama-aneb-vy

  29. Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.

    mojefedora.cz/ramalama-aneb-vy