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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, 16:00 UTC

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[SupportsQuant] Bert, Blip, Blip2, Bloom (#15573)

Kyle Sayers committed over 1 year ago

[doc] update contribution link (#15922)

Reid committed over 1 year ago

[Benchmark] Add AIMO Dataset to Benchmark (#15955)

Ziji Shi (Steven) committed over 1 year ago

[bugfix] add seed in torchrun_example.py (#15980)

youkaichao committed over 1 year ago

[ROCM][KERNEL] Paged attention for V1 (#15720)

Aleksandr Malyshev committed over 1 year ago

[V1][TPU] Do not compile sampling more than needed (#15883)

Nicolò Lucchesi committed over 1 year ago

[TPU] optimize the all-reduce performance (#15903)

Chengji Yao committed over 1 year ago

[V1] Support Mistral3 in V1 (#15950)

Michael Goin committed over 1 year ago

[Misc] V1 LoRA support CPU offload (#15843)

Jee Jee Li committed over 1 year ago

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