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 13, 09:30 UTC
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[Benchmark] Add retry support to fix workload bias in multi-turn benchmark (#28493)
ai-jz committed about 1 year ago
[BugFix] Add fallback path in `apply_rotary_pos_emb_flashattn` for non-cuda platforms (#28447)
Fanli Lin committed about 1 year ago
[Core] Encoder separation for Encode-Prefill-Decode Disaggregation (#25233)
Chenguang Zheng committed about 1 year ago
[Model][Qwen3VL] Simplify `get_mrope_input_positions` using numpy (#28302)
Lukas Geiger committed about 1 year ago
`VLLM_USE_TRITON_FLASH_ATTN` V0 variable deprecation (#27611)
Andreas Karatzas committed about 1 year ago
[CPU] Refactor CPU attention backend (#27954)
Li, Jiang committed about 1 year ago
[[V0 deprecation]]Remove VLLM_USE_V1 env (#28204)
wangxiyuan committed about 1 year ago
[Performance] Cache loaded custom logitsprocs to avoid overheads (#28462)
Isotr0py committed about 1 year ago
[Frontend] Change CompilationMode to a proper Enum (#28165)
Yanan Cao committed about 1 year ago
[BugFix] Graceful handling of torch symm mem errors. (#27671)
Ilya Markov committed about 1 year ago
Use FLASHINFER MLA backend when testing fp8_kv_scale_compile (#28491)
Adrian Abeyta committed about 1 year ago
[Feature] Allow configuring FlashInfer workspace size (#28269)
Max Hu committed about 1 year ago
[Bugfix] Disable shared expert overlap if Marlin MoE is used (#28410)
Michael Goin committed about 1 year ago
Add Zurich vLLM Meetup (#28488)
Michael Goin committed about 1 year ago
[Misc] Cleanup Executor interface (#28441)
wangxiyuan committed about 1 year ago
[TPU] Rename path to tpu platform (#28452)
Kyuyeun Kim committed about 1 year ago
[LoRA][1/N]Remove LoRA extra vocab (#28382)
Jee Jee Li committed about 1 year ago
[Misc] fix typo in DCP comment (#28389)
Jie Luo committed about 1 year ago
[V0 deprecation] Clean up num_prefill_tokens logic for V0 (#28203)
Canlin Guo committed about 1 year ago
[Perf] Use np.ndarray instead of list[list[int]] to reduce GC overhead (#28245)
Jialin Ouyang committed about 1 year ago