vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Docs] quantized_kvcache: add measured performance section, replace deprecated gated example model
- [Bugfix] Reject negative --device-ids indices instead of selecting the wrong device
- [Bugfix][MiniMax-M3] Avoid NaNs for empty sparse decode rows
- fix: LoRA Triton kernel OOB crash with NVFP4/EP padded buffers
- [Bugfix][DSv4][SM120] Skip empty sparse-MLA prefill chunks
- [Bugfix][Model] Remove redundant all_gather_interleave in ViT split_qkv
- [Bugfix] Forward FlashInfer skip ops to sparse MLA warmup
- [Core][V1] Enforce max_num_partial_prefills and max_long_partial_prefills in V1 scheduler
- [Bug]: --moe-backend flashinfer_b12x roughly doubles peak activation memory vs default, cutting available KV cache ~55%
- [Feature] Add IndexCache support for DeepSeek V4 on Hopper
- Docs
- Python not yet supported