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
- [Doc] Clarify keep-mode pause and clear_cache semantics
- [Bugfix][Model Loader] Validate local safetensors metadata headers
- [ROCm][Perf][GLM-5.3-Flash] Stride-aware decode KDA
- [Bugfix] Don't drop the rest of the allocator config when toggling expandable segments
- [Bug]: `allowed_token_ids` + `bad_words` can emit tokens outside the allowlist
- [WideEP] Change DeepEPv2 to auto select hybrid mode by default
- [Bugfix][KV Cache] Clarify padded-page kernel split validation
- [Perf][MoE] Support fp8 combine in FlashInfer one-sided MoE all2all
- [Bug]: `echo: true` silently stops echoing when the unrelated `return_token_ids: true` is also set
- [Metrics][P/D] Add gauges for KV cache pinned by pending KV transfers
- Docs
- Python not yet supported