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]: Support for Responses API `/v1/responses/input_tokens`
- [Perf][Frontend] Skip detokenization in offline beam search
- [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
- [Doc] Add Crusoe Managed Inference deployment guide
- [Bug]: Qwen3.5 / Qwen3.6 hybrid-GDN LoRA: vLLM `enable_lora` does not change generations vs base, while HF Peft does
- [Attention][MiniMax-M3] Add opt-in FlashInfer TRTLLM-GEN sparse decode
- [Benchmark] Add FP8 block-scaled GEMM to fp8_gemm benchmark
- Docs
- Python not yet supported