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2bbdfcfcfea79db5a3a4a32a573e0998fd6a58eb
vLLM/tests/models/glm5next
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Chaunceyandmergify[bot] <37929162+mergify[bot]@users.noreply.github.com> 2bbdfcfcfe [Perf][GLM5.3-Flash] Use cooperative top-k for small GLM decode batches (#57327)
Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-09-18 10:31:35 +08:00
..
__init__.py
[Perf][GLM-5.3-Flash] Decode hot-path cleanups: strided KDA recurrent inputs, NoPE MQA query without concat, no duplicate router GEMM (#55736)
2026-09-10 16:28:33 +08:00
test_kda_recurrent.py
[Perf][GLM-5.3-Flash] Decode hot-path cleanups: strided KDA recurrent inputs, NoPE MQA query without concat, no duplicate router GEMM (#55736)
2026-09-10 16:28:33 +08:00
test_sparse_indexer_topk_dispatch.py
[Perf][GLM5.3-Flash] Use cooperative top-k for small GLM decode batches (#57327)
2026-09-18 10:31:35 +08:00
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