Aquesta és una versió anterior. La versió actual és la b9994. llama.cpp b9994 · Data de publicació:
Fitxers d’instal·lació b10615
| 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
metal : per-device tuned (Q, NE) for flash-attn vec (#26570)
- metal : per-device tuned (Q, NE) for flash-attn vec (#25750)
- rebase Q-generic FA vec body from 01dc936 (#23114)
- add 53 f16 (Q,NE) flash-attn vec instantiations (vec 80 -> 133)
- add FA vec (Q,NE) tuning table + dispatch wiring + SMEM cap fallback
- add FA vec (Q,NE) perf sweep
- fill tuning result
- fold family table into a per-family representative SKU
- refactor tuning result format
- extend FA vec tuning to quantized KV caches
- sync fa vec tuner bucketing with runtime, use pointwise tuning regret
- update tuned table
- format and cleanup
- prefix fa_vec tuning procs with ggml_backend_metal_tuning_, drop unused fa_vec_override_active
- add device id -> token lookup for the offline tuning tool
- add ggml-metal-tuning skeleton
- add op-agnostic perf cell + median timing for the tuner
- add FA-vec graph build + tensor init to the tuner
- tools : add FA-vec (Q,NE) sweep, compression and table emit
- cool down and re-measure the dirty window on thermal drift
- test-backend-ops : replace the FA vec tune mode with a bounded (Q,NE) slice
- tools : document the Metal tuner, point the table comment at it
- abort on unknown KV type, single-source fa_vec_legal_ne
- cleanup
- honor -o in the FA vec (Q,NE) slice
- retune FA-vec (Q, NE) under a pointwise no-harm gate
- cont : add fa-vec tunings for M1 Pro, M2 Ultra, M5 Max
Co-authored-by: Georgi Gerganov ggerganov@gmail.com
Website:
- https://llama.app
Attestations:
- https://github.com/ggml-org/llama.cpp/attestations/42707049
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)
- 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