यो पुरानो संस्करण हो। पछिल्लो संस्करण b9994 हो। llama.cpp b9994 · रिलिज:
इन्स्टलर फाइलहरू b10424
| आर्किटेक्चर | प्रकार | कसका लागि | फाइल साइज | डाउनलोड | SHA256 |
|---|---|---|---|---|---|
| ६४-बिट | ZIP → पोर्टेबल | — | — | github.com | VirusTotal |
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रिलिज नोटहरू
dflash : clarify output logging of target_layer_ids (#27013)
This commit tries to make the logging of target_layer_ids a bit clearer
and easier to read.
Currently the output generated looks like this:
0.00.468.624 D load_arch_hparams: DFlash extract_layers = [0.00.468.626 D 2, 0.00.468.626 D 6, 0.00.468.626 D 20,
0.00.468.626 D 30, 0.00.468.627 D 42, 0.00.468.627 D 520.00.468.627 D ]
With the changes in the commit the output will be:
0.00.522.765 D load_arch_hparams: DFlash extract_layers = [2, 6, 20, 30, 42, 52]
Website:
- https://llama.app
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 (ROCm 7.14)DISABLED
- Ubuntu x64 (OpenVINO)
- Ubuntu x64 (SYCL FP32)
- Ubuntu x64 (SYCL FP16)
Android:
- Android arm64 (CPU)
Windows:
- Windows x64 (CPU)
- Windows arm64 (CPU)
- Windows arm64 (OpenCL Adreno)
- Windows x64 (CUDA 12) - CUDA 12.4 DLLs
- Windows x64 (CUDA 13) - CUDA 13.3 DLLs
- Windows arm64 (CUDA 13) (preview) - CUDA 13.4 DLLs
- Windows x64 (Vulkan)
- Windows x64 (OpenVINO)
- Windows x64 (SYCL)
- Windows x64 (ROCm 7.14)
openEuler:
- DISABLED
- openEuler x86 (310p)
- openEuler x86 (910b, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)
UI:
- UI