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
- [Feature]: Support setting the default max_graph_size according to different platforms
- [Feature]: support for LlavaQwenForCausalLM
- [Performance]: why compressed-tensors only support sym quantization?
- [Bug]: Ray cluster(5 Node), Deploy DP=2, Creating too many placement groups
- [CI] Remove unused docker/Dockerfile.nightly_torch
- [Bug]: FlashInfer warmup crash on Blackwell NVFP4: non_blocking=None passed to Tensor.to()
- [Docs] Clarify structured outputs configuration for Qwen3 reasoning mode
- [Bugfix] [DP] Fix create too many placement groups
- [Bug]: vLLM 0.13.0, GLM4.6, H20; encountered error: torch.AcceleratorError: CUDA error: an illegal memory access was encountered
- [Bug]: EPLB hangs in several cases
- Docs
- Python not yet supported