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
- [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
- [ROCm][Perf][GLM-5.3-Flash]: Implement fit_kpool_indices_to_aiter as a single triton kernel
- [Perf][Attention] FA2: split mixed prefill/decode batches into two calls
- [Perf][Model Loader] Skip checkpoint tensors a model does not load before reading them
- [Feature]: ROCm MoRI elastic EP fault tolerance
- [Frontend] Support strict MiMo-V2.6 tool calling
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- Python not yet supported