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
- [Rust Frontend] Resumable streaming sessions in engine-core-client and Llm facade
- [Feature]: Optional torch.compile support for NVIDIA DeepSeek-V4
- [Perf] Indexer score GEMM uses fp32 accumulate on DeepSeek-V4; bf16 may be sufficient
- [Bugfix][Distributed] Gate MNNVL allreduce workspace creation on fabric support
- [Bug]: Qwen3.5-family native MTP crashes with compressed-tensors WNA16 checkpoints (unquantized mtp.fc)
- [Docs] Explain how to measure prefix cache effectiveness
- [Docs] Add Qwen3-0.6B to batch invariance tested models
- [Bugfix][Frontend] Start Muse Glimmer structured outputs at to=user
- [Bugfix] Do not FULL-capture spec-decode batches in TurboQuant attention backend
- [Perf] TurboQuant: run spec-decode verify batches as decodes with FULL cudagraphs
- Docs
- Python not yet supported