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
- [Bugfix][Spec Decode] Clamp negative placeholder token ids before multimodal text embedding
- [Bug]: ModuleNotFoundError: No module named 'vllm._qutlass_C' warning spam when vLLM is built exclusively for SM8.6
- [RFC]: Compact candidate-set renormalization for native top-k/top-p sampling
- [Feature]: migrate NVSHMEM patches for RoCE from llm-d to vllm image
- [Bug]: No clamp-capable batched NVFP4 fused-MoE backend → DeepEP / wide-EP unusable for MiniMax-M3 NVFP4
- [DSV4] Implement Sequence Parallelism
- fix(anthropic): accept server tools without input_schema
- [Bugfix][Kernel] Fix dangling temporary in AWQ gemm torch::stable::sum dim arg
- [Frontend] Add low-overhead /ready GPU health check
- [Bugfix][QWEN3-VL]: Align video handling with image handling and HuggingFace
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