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][Core] Fix request-bound KV cache sizing
- [ROCm][Bugfix] window-correct shuffled fp8 decode for SWA layers
- [Bug] TPU: State leak in FP8 MoE shared_experts after AOT compilation fails with prefix caching
- [Bug]: Llama-4-Scout-FP8 tool calls left in content (not parsed into tool_calls) — pythonic parser vs JSON output mismatch, breaks Claude Code
- Change VLLM to accomodate shared Attention Metadata
- fix: remove stray duplicate from serving benchmark config
- [XPU] Low-latency all-to-all Expert-Parallellism backend for batched MoE
- Fix moriio completion notification
- Title: [BugFix] Rebuild InputBatch when max_model_len is auto-reduced
- [WideEP] Remove DeepEP high-throughput backend, redirect to DeepEP v2
- Docs
- Python not yet supported