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Thank you for the fix!🍻
…On Fri, 23 May 2025, 12:17 Kawrakow, ***@***.***> wrote:
After a very long bug hunt, this PR should hopefully fix #389
<#389>, #398
<#398>, #425
<#425>.
Thanks to everybody who tested my previous bug fix attempts!
Huge kudos to @ciprianveg <https://github.com/ciprianveg> who was
instrumental in finding the bug!
The bug was in the CUDA matrix-vector multiplication kernel (a.k.a.,
MMVQ). It only shows up when the kernel processes 2 or 3 tokens. Hence, it
was not observed during TG, and only showed up during PP when an expert in
a MoE model ended up with having to process just 2 or 3 tokens from the
batch (which is rare).
I believe all other changes I made in #442
<#442> are not necessary,
but please test this PR to confirm.
Closes #389 <#389>
Closes #398 <#398>
Closes #425 <#425>
------------------------------
You can view, comment on, or merge this pull request online at:
#446
Commit Summary
- 193a15b
<193a15b>
Fix bug in MMVQ kernel
File Changes
(1 file <https://github.com/ikawrakow/ik_llama.cpp/pull/446/files>)
- *M* ggml/src/ggml-cuda/mmvq.cu
<https://github.com/ikawrakow/ik_llama.cpp/pull/446/files#diff-215515d65e174fb02240522a4bb36f5c8f974d129f7a8d1aa6026a4dbd8dff12>
(5)
Patch Links:
- https://github.com/ikawrakow/ik_llama.cpp/pull/446.patch
- https://github.com/ikawrakow/ik_llama.cpp/pull/446.diff
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I can happily confirm that this PR seems to have fixed the issues on my end! Thank you! |
Owner
Author
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Amazing, thanks for all your work! |
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Thank you! |
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It's working fine now, thank you for your patience |
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After a very long bug hunt, this PR should hopefully fix #389, #398, #425.
Thanks to everybody who tested my previous bug fix attempts!
Huge kudos to @ciprianveg who was instrumental in finding the bug!
The bug was in the CUDA matrix-vector multiplication kernel (a.k.a., MMVQ). It only shows up when the kernel processes 2 or 3 tokens. Hence, it was not observed during TG, and only showed up during PP when an expert in a MoE model ended up with having to process just 2 or 3 tokens from the batch (which is rare).
I believe all other changes I made in #442 are not necessary, but please test this PR to confirm.
Closes #389
Closes #398
Closes #425