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
- [Performance]: Significant TTFT Regression with Speculative Decoding (EAGLE3)
- [CI Failure]: LoRA TP (Distributed) _get_lora_aux_cuda_stream is not defined
- [Bug]: FlashInferFP8ScaledMMLinearKernel segfaults on Blackwell (sm100)
- [Bug]: Gemma4 LoRA adapters zeroed out
- [ROCm][DX] Clarify collect_env ROCm reporting
- [Feature]: Render endpoint responses (i.e /v1/chat/completions/render) include the rendered prompt/text
- [Feature]: Better MoE Test Coverage in CI
- [RFC]: Reduce CI Cost by Pruning Low-Value Unit Tests
- [ROCm][MLA] validate AITER head counts during selection
- [Bug]: MTP DeepSeek and Eagle Flash Attention Failures in Spec Decode Unit Tests
- Docs
- Python not yet supported