זוהי גרסה קודמת. הגרסה הנוכחית היא b9994. llama.cpp b9994 · תאריך שחרור:
קובצי התקנה b9893
| ארכיטקטורה | סוג | היקף התקנה | גודל קובץ | הורדה | SHA256 |
|---|---|---|---|---|---|
| 64 ביט | ZIP → נייד (Portable) | — | — | github.com | VirusTotal |
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הערות גרסה
opencl: general flash attention decode performance optimizations (#25366)
- opencl: vec flash-attention decode kernels for f16/q8_0/q4_0 KV
- opencl: improve non FA KQ mv kernels
- opencl: tweaks for multiquery FA
- opencl: some tweaks for FA q1 kernels
- opencl: FA with DK=DV=512 for gemma-4
- opencl: various fixes
- opencl: cleanup
- opencl: fix FA decode crash for DK=512 (gemma-4)
The DK=512 decode-only program does not create the f32_f16 prefill
kernel, so the compiled check in ensure_fa_variant never hit and
supports_op gave inconsistent answers for the same op. block_n is also
unset for DK=512 decode; guard it to avoid an out-of-range read at
dispatch.
- opencl: run DK=512 FA decode on CPU
DK=512 decode is bandwidth-bound and faster on the CPU than the GPU,
increasingly so with depth. Decline it in supports_op; prefill stays on the GPU.
- opencl: compile MQ_GQA=8 FA kernels in a minimal program
The full program compiled with -D MQ_GQA=8 runs the Adreno compiler out
of memory at DK>=256. Only the vec_mq kernels are used from this
program, so compile it with FA_MQ_ONLY, which excludes everything else.
Also include the program name in the compile error log.
- opencl: remove stray token in flash_attn_f32_f16.cl
A stray "." broke the f32_f16 program build.
- opencl: split f16-KV FA decode finer (FD_KV_PER_SPLIT_F16)
The 2048 default under-fills the GPU on single-query f16-KV decode;
use 512 for f16 KV to get more splits. Quantized KV keeps 2048.
Co-authored-by: Li He lih@qti.qualcomm.com
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