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]:An error occurred after the inference program was executed. In fact, the prgram run success, last raise error
- [Bug]: BitBlas quantized models fail during inference
- [Bug]: Pydantic model's description is not taken into account when generating structured outputs
- [Feature]: Refactor W8A8 Block Linear to use the kernel abstraction
- [Feature]: Change min_capability to is_supported in the kernel abstraction
- [Bug]: SM90 FlashInfer with FP8 kv cache fails to compile
- [Bug]: GLM-4.5-Air + MTP causes structural output errors
- [Feature]: draft model about spec decoding
- [Bug]: run Qwen3-30B-A3B on 8*A800 2 nodes with DP failed zmq.error.ZMQError
- [Feature][Benchmarks] Be able to try a different prompt when sending the first test prompt instead of failing directly
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- Python not yet supported