Αυτή είναι παλαιότερη έκδοση. Η τελευταία έκδοση είναι η b9994. llama.cpp b9994 · Κυκλοφορία:
Αρχεία εγκατάστασης b10236
| Αρχιτεκτονική | Τύπος | Εμβέλεια | Μέγεθος αρχείου | Λήψη | SHA256 |
|---|---|---|---|---|---|
| 64-bit | ZIP → Φορητό | — | — | github.com | VirusTotal |
Ο σύνδεσμος και το SHA256 προέρχονται από το κοινοτικό manifest του Windows Package Manager. Συγκρίνετε το hash του ληφθέντος αρχείου πριν το εκτελέσετε.
Σημειώσεις έκδοσης
metal: implement DSv4 Lightning Indexer (#25893)
- metal: implement F16 Lightning Indexer
- Implement GGML_OP_LIGHTNING_INDEXER for 128-dimensional, 64-head inputs
with F32 queries and weights plus F16 keys and masks.
- Add tiled and tail kernels and test KV lengths around 8- and 64-element
boundaries.
llama-bench (--mmap 1, -fa 1, -p 512, -n 128; d=0/10k/20k/30k):
Before:
- pp512: 153.73 ± 0.87 t/s
- tg128: 8.91 ± 0.04 t/s
- pp512 @ d10000: 73.90 ± 0.39 t/s
- tg128 @ d10000: 8.66 ± 0.03 t/s
- pp512 @ d20000: 45.83 ± 0.18 t/s
- tg128 @ d20000: 8.26 ± 0.03 t/s
- pp512 @ d30000: 33.40 ± 0.21 t/s
- tg128 @ d30000: 7.94 ± 0.01 t/s
After:
- pp512: 155.19 ± 0.91 t/s
- tg128: 8.95 ± 0.04 t/s
- pp512 @ d10000: 86.95 ± 0.69 t/s
- tg128 @ d10000: 9.00 ± 0.05 t/s
- pp512 @ d20000: 62.01 ± 0.45 t/s
- tg128 @ d20000: 8.68 ± 0.04 t/s
- pp512 @ d30000: 49.18 ± 0.33 t/s
- tg128 @ d30000: 8.60 ± 0.02 t/s
Assisted-by: Codex
- metal: stage Lightning Indexer K tiles
- Stage and dequantize K in F16 threadgroup memory before simdgroup matrix loads.
- Zero-fill partial tiles and guard stores so all KV segments use the same numerical path.
- Support F32, F16, BF16, Q4_0, Q4_1, Q5_0, Q5_1, and Q8_0 K caches.
llama-bench (--mmap 1, -fa on, -p 512, -n 128; d=0/10k/20k):
- pp512: 160.38 +/- 1.01 t/s
- tg128: 9.08 +/- 0.03 t/s
- pp512 @ d10000: 88.37 +/- 0.46 t/s
- tg128 @ d10000: 9.07 +/- 0.04 t/s
- pp512 @ d20000: 62.53 +/- 0.46 t/s
- tg128 @ d20000: 8.84 +/- 0.03 t/s
Assisted-by: Codex
- dedup Lightning Indexer constants, fix flaky test
- cont : fix whitespace
Co-authored-by: forforever73 690105611@qq.com
Co-authored-by: Georgi Gerganov ggerganov@gmail.com
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 7.2)
- 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 x64 (Vulkan)
- Windows x64 (OpenVINO)
- Windows x64 (SYCL)
- Windows x64 (HIP)
openEuler:
- DISABLED
- openEuler x86 (310p)
- openEuler x86 (910b, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)
UI:
- UI