"set-e# 默认参数MODEL_PATH=""PROMPT="Hello llama.cpp"BACKEND="cpu"# 可选 cpu, cuda, vulkanNUM_THREADS=4print_usage(){echo"Usage:$0[-m model_path] [-p prompt] [-b backend: cpu|cuda|vulkan] [-t num_threads]"}# 解析命令行参
NVIDIA GPU(通过CUDA)、AMD GPU(通过hipBLAS)、Intel GPU(通过SYCL)、昇腾NPU(通过CANN)和摩尔线程GPU(通过MUSA) GPU的Vulkan后端 多种量化方案以加快推理速度并减少内存占用 CPU+GPU混合推理,以加速超过总VRAM容量的模型 llama.cpp 提供了大模型量化的工具,可以将模型参数从 32 位浮点数转换为 16 位浮点数,甚至...
1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads MTT GPUs via MUSA) Vulkan and SYCL backend support CPU+GPU hy...
cuda/vulkan: specify fp32-only support for some operations in supports_op (ggml/1129)ggml-ci master(ggml-org/llama.cpp#12104)· b5132b5079 1 parent 8371d44 commit 0cbee13 File tree ggml/src ggml-cuda ggml-cuda.cu ggml-vulkan ggml-vulkan.cpp tests test-backend-ops.cpp3...
可自定义CUDA内核用于在NVIDIA GPU上运行LLM(通过HIP支持AMD GPU) 支持Vulkan和SYCL后端 CPU+GPU混合推理来实现对超过总VRAN容量模型的部分加速 项目文件 克隆项目代码,编译llama.cpp git clone https://github.com/ggerganov/llama.cppcd llama.cppmake
llama.cpp是一个非常好的ai高性能部署优化学习项目。在llama.cpp中你可以学习到关于各种ai算子的优化手段、cpu并行计算、CUDA算子加速、异构混合计算、ai模型量化、内存高效管理等等。 并且该项目使用C++/C,与其他大部分python/pytroch的项目相比,你可以直接看到很多方法技巧的底层实现。比如在学习那些以python等语言实现...
/var/cache/makepkg/build/ollama-nogpu-git/src/ollama-vulkan/llm/llama.cpp/ggml-vulkan.cpp: In function ‘void ggml_vk_soft_max(ggml_backend_vk_context*, vk_context*, const ggml_tensor*, const ggml_tensor*, const ggml_tensor*, ggml_tensor*)’: ...
LM Studio 自带的 CUDA llama.cpp (Windows) 支持 DeepSeek R1 [笑而不语] 补充一下,CPU-only 和 Vulkan 也支持。
node-llama-cpp Run AI models locally on your machine Pre-built bindings are provided with a fallback to building from source with cmake ✨DeepSeek R1 is here!✨ Features Run LLMs locally on your machine Metal, CUDA and Vulkan support...
Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads MTT GPUs via MUSA) Vulkan and SYCL backend support CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity ...