Aquesta és una versió anterior. La versió actual és la b9994. llama.cpp b9994 · Data de publicació:
Fitxers d’instal·lació b8882
| Arquitectura | Tipus | Àmbit | Mida del fitxer | Baixa | SHA256 |
|---|---|---|---|---|---|
| 64 bits | ZIP → Portable | — | — | github.com | VirusTotal |
L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.
Notes de la versió
ggml-webgpu(shader): support conv2d kernels. (#21964)
- ggml(webgpu): fix the busy-polls in Emscripten in the waitAny after #20618, and remove the busy webgpu log
- Merge with upstream
- Fix GET_ROWS packed integer NaN when using f16 as memory buffer in shader quants
- Update Unary wgsl EXP and EXPM1 for f16 stability
- Fix GET_ROWS IQ4_XS strcut for NaN f16 canonicalization
- Fix numerical percision for unary sqrt when working with f16
- Fix NaN canonicalization for packed integers using f16
- Update err threshold for binary div ops when using f16
- backend: Keep one Dawn/WebGPU instance alive for the lifetime of the static backend
- clean: uncomment existing code logs
- clean: clean the unncessary debug info
- Refactor and generalize dequant helpers
- Remove deprecated quant structs
- Refactor shader defines to reduce repetition
- Remove error override for F16 type
- fix: fix the accidential removal of the proper initialization of ctx
- clean: clean legacy and format code
- fix: did not modify tests ops
- shader(conv2d): add conv2d shader kernels and pass f32 and f16 tests
- shader(conv2d): fix the out of bounds memory access in the weight indexing
- shader(conv2d): clean unused variables and optimize the computation
- merge: use the new entries function
- clean: address the formatting issues
- clean: address the warning issues
- clear: clean the shader editorconfig-checker issues
- clear: clean the shader editorconfig-checker with utf-8
Co-authored-by: Jeremy J. Hartmann jeremy@mtion.tv
macOS/iOS:
- macOS Apple Silicon (arm64)
- macOS Apple Silicon (arm64, KleidiAI enabled)
- 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)
Android:
- Android arm64 (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, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)