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Pakua llama.cpp b7502

LLM inference in C/C++

Hili ni toleo la zamani. Toleo la sasa ni b9994. llama.cpp b9994 · Lilitolewa:

Faili za kisakinishi b7502

UsanifuAinaUpeoUkubwa wa failiPakuaSHA256
64-bit ZIP → Portable — — github.com VirusTotal

Kiungo na SHA256 vinatoka kwenye manifest ya jumuiya ya Windows Package Manager. Linganisha hashi ya faili uliyopakua kabla ya kuiendesha.

Maelezo ya toleo

vulkan: Implement set_tensor_async and the event interfaces (#18047)
The goal is to enable the async loading code paths in
llama_model_loader::load_all_data, originally from #7896. This works and the
loads themselves are faster, but with host visible vidmem I think the cost of
allocating/mapping vidmem moves and becomes more expensive, and I don't see a
benefit by default. But with GGML_VK_DISABLE_HOST_VISIBLE_VIDMEM=1 I do see a
significant improvement in model loading time.
macOS/iOS:
- macOS Apple Silicon (arm64)
- macOS Intel (x64)
- iOS XCFramework
Linux:
- Ubuntu x64 (CPU)
- Ubuntu x64 (Vulkan)
- Ubuntu s390x (CPU)
Windows:
- Windows x64 (CPU)
- Windows arm64 (CPU)
- Windows x64 (CUDA 12) - CUDA 12.4 DLLs
- Windows x64 (CUDA 13) - CUDA 13.1 DLLs
- Windows x64 (Vulkan)
- Windows x64 (SYCL)
- Windows x64 (HIP)
openEuler:
- openEuler x86 (310p)
- openEuler x86 (910b)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b)

https://github.com/ggml-org/llama.cpp/releases/tag/b7502

Lebo

Shiriki