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
- [Doc] Document SimpleCPUOffloadConnector in the KV offloading guide
- [Bug]: `all_gather_interleave()` in PaddleOCR-VL/Ernie4.5-VL/GLM-4.1V bypasses vLLM's collective API and crashes with "No backend type associated with device type" on out-of-tree platforms
- [Bug] enable_lora on hybrid-MoE model perturbs outputs of requests WITHOUT lora_request (greedy repetition loop) — fused MoE LoRA implementation
- [Usability] Engine fails to start when available Mamba cache blocks < max_num_seqs (hybrid models + LoRA) — suggest auto-clamping with a warning
- fix(v1): skip full GC during EngineCore process exit
- [Doc] Add health probes to the AMD deployment example in k8s.md
- [Bug]: FastIncrementalDetokenizer leaks full prompt text into streamed output when prompt ends with an incomplete UTF-8 token
- [Bugfix] Prevent prompt text leaking into streamed output when prompt ends mid-UTF-8
- LoRA Triton kernel crashes with NVFP4 (modelopt_fp4) quantization - CUDA illegal memory access
- reasoning: null content when include_reasoning=False + json_schema response_format (introduced v0.23.1)
- Docs
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