यो पुरानो संस्करण हो। पछिल्लो संस्करण b9994 हो। llama.cpp b9994 · रिलिज:
इन्स्टलर फाइलहरू b11636
| आर्किटेक्चर | प्रकार | कसका लागि | फाइल साइज | डाउनलोड | SHA256 |
|---|---|---|---|---|---|
| ६४-बिट | ZIP → पोर्टेबल | — | — | github.com | VirusTotal |
| ARM64 | ZIP → पोर्टेबल | — | — | github.com | VirusTotal |
लिङ्क र SHA256, Windows Package Manager का कम्युनिटी म्यानिफेस्टबाट लिइएका हुन्। फाइल चलाउनुअघि त्यसको ह्यास मिलाएर हेर्नुहोस्।
रिलिज नोटहरू
sycl: IQ3 code reorder (#29107)
- sycl: persistent IQ3_S/IQ3_XXS weight reorder for SYCL decode and prefill
Add persistent reordered weight layouts for IQ3_S and IQ3_XXS. Weights
are reordered once at load time; the reordered MMVQ dot products then
walk dense super-blocks with dp4a and SWAR sign expansion instead of
gathering bits from the interleaved standard layout. Reorder-aware
dequantization feeds the batched prefill GEMMs so prompt processing
sees the same benefit.
Also harden the oneDNN build check: a missing DNNL package or a
CPU-only DNNL build now fails at configure time instead of silently
producing a degraded backend.
Measured on Intel Arc Pro B70 with Qwen3.8-27B-GSQ-RCO-IQ3_S (MTP),
-ngl 999 -b 4096 -ub 1024 -fa on:
tg256 @ 0 ctx 12.92 -> 23.54 tok/s (+82%)
tg256 @ 9,216 12.33 -> 21.69 tok/s (+76%)
tg256 @ 64,000 9.76 -> 14.91 tok/s (+53%)
pp8192 833.9 -> 833.6 tok/s (flat)
Qwen3.5-9B Q4_K_M / Q3_K_M are unchanged within noise (largest delta
-0.5% pp, tg flat), so standard quants are not affected.
The MMVQ GLU fusion widening and rms_norm+scale fusion are
intentionally not part of this change; master already carries them
via #28931.
- removing wait as per review request
- sycl : fix fusion.cpp line ending
Website:
- https://llama.app
Attestations:
- https://github.com/ggml-org/llama.cpp/attestations/56116978
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 (CUDA 12) - CUDA 12.8 libraries
- Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries
- Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries
- Ubuntu x64 (ROCm 10.0)
- Ubuntu x64 (OpenVINO)
- Ubuntu x64 (SYCL FP32)
- Ubuntu x64 (SYCL FP16)
- Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide
Android:
- Android arm64 (CPU)
- Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide
Windows:
- Windows x64 (CPU)
- Windows arm64 (CPU)
- Windows arm64 (OpenCL Adreno)
- Windows x64 (CUDA 12) - CUDA 12.4 DLLs
- Windows x64 (CUDA 13) - CUDA 13.4 DLLs
- Windows arm64 (CUDA 13) - CUDA 13.4 DLLs
- Windows x64 (Vulkan)
- Windows arm64 (Vulkan)
- Windows x64 (OpenVINO)
- Windows x64 (SYCL)
- Windows x64 (ROCm 10.0)
openEuler:
- DISABLED
- openEuler x86 (310p)
- openEuler x86 (910b, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)
UI:
- UI