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 ipv6 in vllm distributed
- [BugFix] Fix KV cache offload state inconsistency
- [BugFix] fix: skip check unstreamed tool arg tokens when tool call name is present
- [Bug]: When using CPU to run examples/offline_inference/basic/basic.py, “RuntimeError: Device string must not be empty” is generated.
- [CI/Build] Set test case to run two different containers on the same host
- [Bugfix] Potential Out-of-bounds in moe_align_sum_kernels.cu
- add ucclep integration
- [Bug]: Sequence Parallel Pass doesn't work for MoE models
- [Bug]: CUDA Illegal Memory Access with VLM Models (Qwen3-VL/Qwen2.5-VL) when using logprobs=True under high concurrency
- [Bug]: rocm/vllm:rocm7.0.0_vllm_0.11.1_20251103 has an error with flash attention
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- Python not yet supported