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llama.cpp b11490 lejupielādēt

LLM inference in C/C++

Šī ir vecāka versija. Jaunākā versija ir b9994. llama.cpp b9994 · Izlaista:

Instalēšanas faili b11490

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Izmaiņu saraksts

hexagon: enable alloc_buffer_n (#30126)
- hex-bufs: add support for alloc_buffer_n
- hex-bufs: add support for splitting large tensors into separate buffers
- hex-bufs: update GGML_HEXAGON_MBUF to accept three values dyn,static,total
- hex-bufs: bump dyn. default to 512MB since 128MB causes perf regressions with big MOEs
- hex-run: add --no-embd-offload option to simplify command lines on devices that need it
- Update scripts/snapdragon/run.py
Co-authored-by: Jhen-Jie Hong iainst0409@gmail.com
Co-authored-by: Jhen-Jie Hong iainst0409@gmail.com
Website:
- https://llama.app
Attestations:
- https://github.com/ggml-org/llama.cpp/attestations/53811782
macOS/iOS:
- macOS Apple Silicon (arm64)
- macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED
- macOS Intel (x64)
- iOS XCFramework
Linux:
- Ubuntu x64 (CPU)
- Ubuntu arm64 (CPU)
- Ubuntu s390x (CPU)
- Ubuntu x64 (Vulkan)
- Ubuntu arm64 (Vulkan)
- Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries
- Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries
- Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries
- Ubuntu x64 (ROCm 10.0)
- Ubuntu x64 (OpenVINO)
- Ubuntu x64 (SYCL FP32)
- Ubuntu x64 (SYCL FP16)
- Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide
Android:
- Android arm64 (CPU)
- Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide
Windows:
- Windows x64 (CPU)
- Windows arm64 (CPU)
- Windows arm64 (OpenCL Adreno)
- Windows x64 (CUDA 12) - CUDA 12.4 DLLs
- Windows x64 (CUDA 13) - CUDA 13.4 DLLs
- Windows arm64 (CUDA 13) - CUDA 13.4 DLLs
- Windows x64 (Vulkan)
- Windows arm64 (Vulkan)
- Windows x64 (OpenVINO)
- Windows x64 (SYCL)
- Windows x64 (ROCm 10.0)
openEuler:
- DISABLED
- openEuler x86 (310p)
- openEuler x86 (910b, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)
UI:
- UI

https://github.com/ggml-org/llama.cpp/releases/tag/b11490

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