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
- [EPLB] Add EPLB support to dspark draft models (DeepSeekV4)
- [Bug]: xgrammar feature detection misses constraints when JSON Schema omits type
- fix(parser): keep fenced code examples out of qwen3 tool calls
- [Bugfix] Muse Glimmer: apply structured outputs to the to=user answer
- [Kernel][XPU] Tuned int4_w4a16 MoE config for Intel Arc Pro B60
- [Bugfix][Rust Frontend] Bind the managed-engine handshake before spawning Python
- [ROCm][Perf] Add AITER FlyDSL GDN prefill backend
- [XPU] Add tuned Mamba SSU configs for 2 more B70 shapes
- [RFC]: Stable, versioned plugin contract for out-of-tree attention backends + custom KV-cache specs
- [P/D disagg example]: Add disagg inference benchmarking script for push and pull modes
- Docs
- Python not yet supported