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
- [Bug]: `vllm bench serve` isn't an exact replacement of benchmark_serving.py
- [NVFP4] Enable MOE support for SM_120 (RTX 5090)
- [Performance]: Compiled `QuantFP8.forward_native` group quantization (1, 128) slower than CUDA on H100/RTX5090
- Support the model generating a JSON string instead of JSON in the Hermes Tool Parser
- CLI: Ignore SIGTSTP signal (Ctrl-Z)
- fix json schema alias serializing when streaming
- [Performance]: RTX 6000 PRO - FP8 in sglang is faster
- [BugFix] NIXL connector WAR "prefill TP > decode TP" limitation for MLA case
- [RFC]: Enable libtorch-ABI-stable vLLM cuda wheels
- [Bug]: Problems with serving GPT-OSS-20B via vLLM on Open WebUI
- Docs
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