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  • Tuxedo17T

    llama.cpp : exemple de fichier service

    Déplacé llama.cpp configuration
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  • fariasF

    llama.cpp : Installation

    Déplacé llama.cpp ubuntu
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    fariasF
    Mise à jours de Ollama : # curl -fsSL https://ollama.com/install.sh | sh >>> Cleaning up old version at /usr/local/lib/ollama >>> Installing ollama to /usr/local >>> Downloading ollama-linux-amd64.tar.zst ######################################################################## 100.0% >>> Adding ollama user to render group... >>> Adding ollama user to video group... >>> Adding current user to ollama group... >>> Creating ollama systemd service... >>> Enabling and starting ollama service... >>> NVIDIA GPU installed. Visiblement même problème : ... juin 19 10:51:37 ollama[2964]: time=2026-06-19T10:51:37.153Z level=INFO source=model_list_cache.go:111 msg="model list cache hydration complete" models=16 failures=0 elapsed=654.370427ms juin 19 10:51:42 ollama[2964]: time=2026-06-19T10:51:42.591Z level=WARN source=cuda_compat.go:38 msg="NVIDIA driver too old" device="Quadro M5000" compute=5.2 driver=535 required_driver="570 or newer" juin 19 10:51:42 ollama[2964]: time=2026-06-19T10:51:42.591Z level=WARN source=cuda_compat.go:38 msg="NVIDIA driver too old" device="Quadro M4000" compute=5.2 driver=535 required_driver="570 or newer" juin 19 10:51:43 ollama[2964]: time=2026-06-19T10:51:43.181Z level=INFO source=types.go:32 msg="inference compute" id=1 filter_id=1 library=Vulkan compute=0.0 name=Vulkan1 description="Quadro M4000" libd> juin 19 10:51:43 ollama[2964]: time=2026-06-19T10:51:43.181Z level=INFO source=types.go:32 msg="inference compute" id=0 filter_id=0 library=Vulkan compute=0.0 name=Vulkan0 description="Quadro M5000" libd> ...
  • Tuxedo17T

    llama.cpp : llama-bench : CPU ( no CUDA )

    Déplacé llama.cpp benchmark
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  • Tuxedo17T

    llama.cpp : llama-server : Erreur 404 file not found

    Déplacé llama.cpp installation
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    Tuxedo17T
    Les logs avant le build : # export LD_LIBRARY_PATH=/usr/local/cuda/lib # export PATH=$PATH:/usr/local/cuda/bin # cmake .. -DGGML_CUDA=ON CMAKE_BUILD_TYPE=Release -- Warning: ccache not found - consider installing it for faster compilation or disable this warning with GGML_CCACHE=OFF -- CMAKE_SYSTEM_PROCESSOR: x86_64 -- GGML_SYSTEM_ARCH: x86 -- Including CPU backend -- x86 detected -- Adding CPU backend variant ggml-cpu: -march=native -- CUDA Toolkit found -- Using CMAKE_CUDA_ARCHITECTURES=75-virtual;80-virtual;86-real;89-real;90-virtual;120a-real;121a-real CMAKE_CUDA_ARCHITECTURES_NATIVE= -- CUDA host compiler is GNU 11.4.0 -- Including CUDA backend -- ggml version: 0.15.1 -- ggml commit: b4024af6c -- OpenSSL found: 3.0.2 -- Generating embedded license file for target: llama-app -- Configuring done -- Generating done -- Build files have been written to: /home/XXXX/GIT/llama.cpp/build