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][Tool Parser] Migrate Granite to the streaming Parser Engine
- [CPU][Spec Decode] Centralize CPU causal-conv dispatch
- [Feature]: Add a server-side tool strictness level for auto tool choice
- [Docs]: MkDocs TOC slugify differs from markdownlint MD051 anchor validation
- [Docs] Document ExampleConnector migration for disaggregated prefill
- [XPU] [Linear] add torch as xpu linear backend
- [Render][2/n] Paged shared memory storage for mm tensor ipc.
- [Bug]: Deferred KV block frees cause zero-progress preemption cascades with async KV consumers
- [Bugfix] Fix missing f-string in Keye smart_resize aspect-ratio error message
- [Perf][GLM-5.2] Store sparse physical indices in attention metadata
- Docs
- Python not yet supported