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
- [Bug]: Streaming mode with --tool-call-parser hermes returns raw text instead of parsed tool_calls
- [Bug]: Qwen3-Next-80B-A3B-Instruct-NVFP4 cannot run
- [Bug]: DeepSeek OCR Triton Error [CUDA] an illegal memory access on vLLM 0.11.2 on H100
- [Feature]: Proposal: Optional Admin Control Plane API + CLI for Safe Production Operations
- [Bug]: When running the model on an RTX 5090 GPU, the model starts successfully, but the CPU usage remains at 100%.
- [RFC]: EPLB Implementation Refactoring
- [Model Bash]: DeepSeek NVFP4 B200
- [Bugfix] Fix ModelOpt Llama-4 slow loading via tensor contiguity
- [Bug]: Wen vllm engine core ready timeout because deepgemm warmup, apiserver exit,but engine core keep running
- [RFC]: Change `kv_load_failure_policy` Default from "recompute" to "fail"
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