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
- [Misc] Use VLLMValidationError consistently in SamplingParams._verify_args
- [Bug Fix] Qwen3.5-nvfp4 MTP Speculative Decoding Weight Shape Mismatch
- [Bug]: streaming mode+finish_reason length, delta content not empty with finish_reason length
- [Feature] [ROCm]: Enable AITER `fused_allreduce_rmsnorm`
- [Feature] [ROCm]: Enable AITER `fused_allreduce_rmsnorm_quant`
- [Bug]: Garbled / gibberish output after serving Kimi-K2.5 with vLLM on 8×H200 (INT4) for some time
- [Bug]: .venv/lib/python3.10/site-packages/flashinfer/data/include/flashinfer/flat/hopper/collective/flat_collective_store.hpp:18:10: fatal error: cuda/ptx: No such file or directory (EngineCore_DP0 pid=1553337) 18 | #include <cuda/ptx>
- [Quantization] Support NVFP4-quantized lm_head and embed_tokens via modelopt
- [Bugfix] Fix misleading cancel error message and noisy CancelledError log
- [Bugfix] Fix slow ModelOpt Llama-4 checkpoint loading via tensor contiguity
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