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][Frontend] Support namespace tools for harmony/gpt-oss models in Responses API
- [Bugfix] Shared MM text-LoRA mapper fallback for language_model wrappers
- [Bug]: FlashInfer sampler JIT crashes engine startup when nvcc isn't discoverable (default precompiled/wheel install) — no fallback to native sampler
- Zero JIT compilation during runtime
- [Bug]: Poolside Laguna-S-2.1 poolside_v1 reasoning parser falls back to IdentityReasoningParser and fails auto initialization
- [Spec Decode] Add PARD-2 parallel draft model support
- [Docs] Clarify ASR audio chunking is non-overlapping
- [RFC] [Feature] [Experimental] Support GigaToken Accelerated Tokenizer Mode
- [RFC]: KV offload event path refactor — provenance-carrying events and key-only removals
- [Perf] Add mm_tensor_ipc=cuda_ipc TP-aware GPU transport
- Docs
- Python not yet supported