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
- [Core][Spec Decode] Add lookahead-aware prefix cache hashing for EAGLE-style draft models
- [Core] Support partial layer loading natively using hf_overrides and ignore_patterns
- [RFC]: Cutting P/D-disaggregation TTFT: first-token seeding, fast KV side channels, and concurrent router dispatch (NixlConnector)
- [HelionLinearBackend][5/N] Add HelionFP8BlockScaledMMLinearKernel
- [Bug]: CUDA misaligned address crash on GB10 (sm_121) after ~10 days uptime — Nemotron NVFP4 + Marlin MoE + MTP speculative decoding
- [Bugfix][ROCm] Resolve tuned configs across device-name aliases
- [Bugfix] Preserve Qwen3 structured output content
- [Bug]: GraniteMoeHybrid fails to load with pipeline_parallel_size > 1 (KeyError on another rank's layer)
- [Bugfix][Model] GraniteMoeHybrid: skip other ranks' weights under pipeline parallelism
- [Feature]: shared expert fusion via Flashinfer kernels
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