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21472f32ea6c1f08b6b3c12aec9d3df0a41b4575
vLLM/vllm/model_executor
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gnovackandmergify[bot] <37929162+mergify[bot]@users.noreply.github.com> 21472f32ea add pad-aware swiglu limit kernel (#48287)
Signed-off-by: gnovack <novackgm@gmail.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-07-13 16:48:19 -07:00
..
kernels
[ROCm][Perf] MXFP8 dense-linear + grouped-MoE GEMM optimizations for MiniMax-M3 (#46117)
2026-07-08 04:03:34 +00:00
layers
add pad-aware swiglu limit kernel (#48287)
2026-07-13 16:48:19 -07:00
model_loader
fix: correct load_weights track logic and enable weight integrity for… (#41811)
2026-07-10 14:08:20 +00:00
models
[Feat] Add Support for BertForMaskedLM to vLLM (#48463)
2026-07-13 20:56:25 +00:00
offloader
Revert "[Platform] Replace torch.cuda.Event with torch.Event (#47140)" (#47668)
2026-07-06 14:18:33 +01:00
warmup
Add VLLM_FLASHINFER_AUTOTUNE_SKIP_OPS and skip CuTeDSL fp4_gemm autotuning by default (#48268)
2026-07-10 18:13:08 -07:00
__init__.py
[Platform] Deprecate seed_everything (#31659)
2026-01-04 18:34:04 -08:00
custom_op.py
Add ability to replace oot ops when using lora (#37181)
2026-03-16 18:04:15 -07:00
parameter.py
Speed up docs build (#44635)
2026-06-05 14:51:44 +00:00
utils.py
Remove more unnecessary load_weights methods (#47058)
2026-06-30 15:22:16 +01:00
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