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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 18:30 UTC

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[Doc] Minor v1_user_guide update (#15064)

Jennifer Zhao committed over 1 year ago

fix long dtype in topk sampling (#15049)

Chujie Zheng committed over 1 year ago

[V1] TPU - CI/CD use smaller model (#15054)

Alexander Matveev committed over 1 year ago

[Bugfix] Fix LoRA extra vocab size (#15047)

Jee Jee Li committed over 1 year ago

[MODEL] Add support for Zamba2 models (#13185)

yury-tokpanov committed over 1 year ago

MI325 configs, fused_moe_kernel bugfix (#14987)

ekuznetsov139 committed over 1 year ago

[TPU][V1][Bugfix] Fix chunked prefill with padding (#15037)

Nicolò Lucchesi committed over 1 year ago

[Bugfix] torchrun compatibility (#14899)

hoshi-hiyouga committed over 1 year ago

[Misc] Embedding model support LoRA (#14935)

Jee Jee Li committed over 1 year ago

[Mistral-Small 3.1] Update docs and tests (#14977)

Patrick von Platen committed over 1 year ago

[Kernels] LoRA - Retire SGMV and BGMV Kernels (#14685)

Varun Sundar Rabindranath committed over 1 year ago

[Doc][V1] Fix V1 APC doc (#14920)

Shanshan Shen committed over 1 year ago

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