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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, 23:30 UTC

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[V1][PP] Fix memory profiling in PP (#13315)

Woosuk Kwon committed almost 2 years ago

[V1][CI] Fix failed v1-test because of min_p (#13316)

Woosuk Kwon committed almost 2 years ago

[V1][Core] min_p sampling support (#13191)

Aoyu committed almost 2 years ago

[Core] choice-based structured output with xgrammar (#12632)

Russell Bryant committed almost 2 years ago

Support logit_bias in v1 Sampler (#13079)

Lu Fang committed almost 2 years ago

[Bugfix] Fix missing parentheses (#13263)

Xu Song committed almost 2 years ago

[WIP] TPU V1 Support Refactored (#13049)

Alexander Matveev committed almost 2 years ago

[ROCm][V1] Add intial ROCm support to V1 (#12790)

Sage Moore committed almost 2 years ago

[V1] LoRA - Enable Serving Usecase (#12883)

Varun Sundar Rabindranath committed almost 2 years ago

Expand MLA to support most types of quantization (#13181)

Michael Goin committed almost 2 years ago

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