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
- [CI/Build] Fix GH200 build: add --torch-only flag to use_existing_torch.py to preserve torchvision dependency
- [Bugfix] Fix platform detection crash when vllm is not installed as a package
- [Bug]: vllm 0.18 kimi k2.5 way worse than h200 single node
- [Compile] Replace split_module with lightweight vllm-specific graph splitter
- [Fix] Improve ROCm detection in WSL environments
- Revert "[QeRL] Compose online quantization with quantized reloading" (#38032)
- [Transformers v5] Vendor HCXVisionConfig for compatibility
- fix(metrics): capture num_preemptions before _reset() clears it in log()
- [Feature]: Better Flashinfer compilation logging
- [Bugfix][Tool Parser] Fix Kimi-K2 argument truncation when decoding bundles `tool_call_end` and `tool_call_begin` into a single streaming delta
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