(env) root@gpu:~/.local/share/Open Interpreter/models# python -c "from llama_cpp import GGML_USE_CUBLAS; print(GGML_USE_CUBLAS)" False (env) root@gpu:~/.local/share/Open Interpreter/models# CMAKE_ARGS="-DLLAMA_HIPBLAS=on" pip install llama-cpp-python==0.2.0 Collecting llama-cpp-...
LLM inference in C/C++. Contribute to alwqx/llama.cpp development by creating an account on GitHub.
ifdef LLAMA_MPI MK_CPPFLAGS += -DGGML_USE_MPI MK_CFLAGS += -Wno-cast-qual MK_CXXFLAGS += -Wno-cast-qual OBJS += ggml-mpi.o endif # LLAMA_MPI ifdef LLAMA_OPENBLAS MK_CPPFLAGS += -DGGML_USE_OPENBLAS $(shell pkg-config --cflags-only-I openblas) MK_CFLAGS += $(...
As I wrote in the last post, there are some good reasons to install your own LLM on your computer. It's all really simple using Ollama, which allows you to run various models of LLM on your computer. A GPU is nice, but not required. Apple and Linux Users can simply go right over...
As I wrote in the last post, there are some good reasons to install your own LLM on your computer. It's all really simple using Ollama, which allows you to run various models of LLM on your computer. A GPU is nice, but not required. Apple and Linux Users can simply go right over...
Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up {{ message }} izard / llama.cpp Public forked from ggerganov/llama.cpp Notifications You must be signed in to change notification settings Fork 0 Star 0 ...
*.o main stream command talk talk-llama bench quantize libwhisper.a libwhisper.so I whisper.cpp build info: I UNAME_S: Linux I UNAME_P: x86_64 I UNAME_M: x86_64 I CFLAGS: -I. -O3 -DNDEBUG -std=c11 -fPIC -pthread -mavx2 -mfma -mf16c -mavx -msse3 -DGGML_USE_CUBLAS -I/...
ollama (Optional) hoarder hoarder-workers Support forum: https://forums.unraid.net/topic/165108-support-collectathon-hoarder/ Sorry, something went wrong. MohamedBassem closed this as completed in eb218ce May 18, 2024 Collaborator MohamedBassem commented May 18, 2024 Thanks a lot @Collectath...
We'll use brew to install docker and ollama, if something wrong, you can install docker and ollama yourself.Tip Recommend Ollama model: glm4 for chat, shaw/dmeta-embedding-zh for Knowledge of chinese.# Usage: {run [-n name] [-p port] | stop [-n name] | update} # default name...
If you wish to override the `OLLAMA_KEEP_ALIVE` setting, use the `keep_alive` API parameter with the `/api/generate` or `/api/chat` API endpoints. ## How do I manage the maximum number of requests the server can queue If too many requests are sent to the server, it will respond...