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
- [Feature]: mega-MoE expert path for SM90 (H100/H20) DeepSeek-V4 / V4.1-Flash — Marlin weight-only is the only option today
- [ROCm][Perf] Enable DPA+ETP prefill compute/comm dual-batch-overlap for DeepSeek-V4
- feat(chat): support OpenAI 'file' content parts by inlining documents as text
- [Bugfix][Mooncake] Retain request state until deferred stores drain
- [Refactor][KVConnector] Rename wait_for_save to finalize_saves
- [Bugfix][Kernel] Honor batch invariance in WNA16 MoE dispatch
- [Test] Make Anthropic messages test compatible with SDK 1.x via extra_body
- [Docs] Add model recipes skill
- [Bugfix][Structured Output] Reject non-terminating $ref cycles at request validation
- [Feature][KVEvents] Add state snapshots support
- Docs
- Python not yet supported