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
- [Bugfix][Spec Decode] Keep a full uniform-decode batch reachable by FULL graphs
- [Bugfix][Qwen3-Omni] Pass lm_head prefix for NVFP4 exclusion
- [Bugfix][LoRA] Map lm_head LoRA to batch tokens for prompt logprobs (…
- [MoE] Stage UVA-offloaded expert weights in VRAM for large steps
- [Bugfix][Spec Decode] Keep data_parallel_index in DFlash/DSpark draft configs
- [Bugfix][Qwen4Exp] Fix PLE layerwise reload with CPU offload and TP
- [Bugfix][MoE] Keep per-expert gate/up halves separate under stacked mappers
- [Bugfix][Tokenizer] Honor truncation_side in MistralTokenizer.encode
- [Feature][Elastic EP] Correlate external scaling operations
- [RFC / Research Showcase] SPICY-KV: 28.6x–50x Pre-RoPE Algebraic Multigrid KV Compression + 4-Byte Subgrid Variance Calibration (91.7%–100% RULER Recall on DeepSeek-R1 7B & 1.5B)
- Docs
- Python not yet supported