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
- MiniMax-M2.1/M2.5/M2.7 tool-call arguments cannot safely contain raw </parameter> delimiters
- [Bug]: Eagle3 Speculative Decoding + tensor_parallel_size=2 + draft_tensor_parallel_size=2 causes NCCL timeout / collective deadlock
- [Tests] Add parallel sampling tests for AsyncLLM and LLMEngine
- [Bugfix] Pass routed_scaling_factor to FlashInfer TRTLLM MXFP4 MoE
- [Bugfix] DeepSeek V4: support transformers >= 4.57 normalized compress_ratios (AMD + NVIDIA)
- [XPU] Add PyTorch fallback for per-block SiLU-and-Mul FP8 quantization
- [Feature] [EPD] [EC Connector] Add ECSharedMemoryConnector for disagg…
- fix(ngram): sync ngram_gpu acceptance rate to match CPU
- fix(ngram): match async ngram_gpu acceptance rate to CPU
- Int4 kivi kv cache
- Docs
- Python not yet supported