introduce JZ's ggml-hexagon. #1218
Replies: 3 comments 1 reply
|
Thanks for putting this in front of us, and thanks to JZ for the work — the numbers are impressive. That said, I'd suggest opening an issue or discussion there and tagging Max Krasnyansky (@max-krasnyansky), who owns the current |
|
Thanks for your reply, and sorry for interrupting the GenieX team. |
|
Jeff Zhou (@zhouwg) Thanks Jeff for reaching out, we closely work with Max on llama.cpp Hexagon support and have routine meetings to go over all technical planning and implementations. Will escalate and get back to you. |
Uh oh!
There was an error while loading. Please reload this page.
Uh oh!
There was an error while loading. Please reload this page.
Could technical experts from Qualcomm take a look at this project(ggml-hexagon/ggml-hexagon#18)? On Snapdragon 8 Elite (aka 8 Gen 4) smartphones, JZ's ggml-hexagon achieves higher PP and TG performance than Qualcomm’s official ggml-hexagon implementation.
build v0.99.3.9-dev, device: Snapdragon 8 Elite(aka 8Gen4), HTP arch v79, Vendor OnePlus 13, command: /data/local/tmp/llama-completion -ngl 99 -t 6 -n 256 --ctx-size 8192 --ubatch-size 64 --poll 1000 --no-warmup --no-mmap -fa on -st -no-cnv -m /sdcard/gemma-4-E2B-it-Q4_0.gguf -p "Hello, good morning, you are a powerful domain expert and know many things, now pls help to introduce the movie Once Upon a Time in America briefly, pls pay attention short then 1000 words\n").
PP&TG in JZ's ggml-hexagon:
PP&TG in Qualcomm's ggml-hexagon:
All reactions