이전 버전입니다. 현재 최신 버전은 b9994입니다. llama.cpp b9994 · 출시일:
설치 파일 b8966
| 아키텍처 | 형식 | 설치 범위 | 파일 크기 | 다운로드 | SHA256 |
|---|---|---|---|---|---|
| 64비트 | ZIP → 포터블 | — | — | github.com | VirusTotal |
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릴리스 노트
ggml-cuda: add flash-attn support for DKQ=320/DV=256 with ncols2=32 (… (#22286)
- ggml-cuda: add flash-attn support for DKQ=320/DV=256 with ncols2=32 (GQA=32)
Adds MMA-f16 and tile kernel configs, dispatch logic, template instances,
and tile .cu file for Mistral Small 4 (head sizes 320/256), restricting to
ncols2=32 to support GQA ratio 32 only.
- Adding check to return BEST_FATTN_KERNEL_NONE in case GQA!=32
- Apply suggestions from code review
Address review comments
Co-authored-by: Johannes Gäßler johannesg@5d6.de
- Address review comments and making kernel config default to DQK=512, DV=512 instead of DQK=256,DV=256
- Fixed bug with sinks=1, with ncols=32, there are two warp-groups created but sinks index is same(0,...,15) for both the groups hence with sinks=1, output is not matching with CPU output. Added sink_base which will be base index for each warp_group (threadIdx.y / np)
- Apply suggestions from code review
Co-authored-by: Johannes Gäßler johannesg@5d6.de
- Update ggml/src/ggml-cuda/template-instances/generate_cu_files.py
Co-authored-by: Johannes Gäßler johannesg@5d6.de
Co-authored-by: Johannes Gäßler johannesg@5d6.de
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)
- Ubuntu x64 (SYCL FP32)
- Ubuntu x64 (SYCL FP16)
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)