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Pakua llama.cpp b8660

LLM inference in C/C++

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

Faili za kisakinishi b8660

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

ggml-webgpu: move from parameter buffer pool to single buffer with offsets (#21278)
- Work towards removing bitcast
- Move rest of existing types over
- Add timeout back to wait and remove synchronous set_tensor/memset_tensor
- move to unpackf16 for wider compatibility
- cleanup
- Remove deadlock condition in free_bufs
- Start work on removing parameter buffer pools
- Simplify and optimize further
- simplify profile futures
- Fix stride
- Try using a single command buffer per batch
- formatting
macOS/iOS:
- macOS Apple Silicon (arm64)
- macOS Intel (x64)
- iOS XCFramework
Linux:
- Ubuntu x64 (CPU)
- Ubuntu arm64 (CPU)
- Ubuntu s390x (CPU)
- Ubuntu x64 (Vulkan)
- Ubuntu arm64 (Vulkan)
- Ubuntu x64 (ROCm 7.2)
- Ubuntu x64 (OpenVINO)
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, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)

https://github.com/ggml-org/llama.cpp/releases/tag/b8660

Lebo

Shiriki