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]: TypeError: BatchPrefillWithPagedKVCacheWrapper.plan() got an unexpected keyword argument 'fixed_split_size'
- [Bug]: TorchAO quantization is broken in vLLM v1 engine (v0.13.0)
- [Performance]: embedding
- [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
- perf.vllm.ai is not available
- [Bug]: Pydantic model's description is not taken into account when generating structured outputs
- [Feature]: Add a default logger select write to file
- [Feature]: Refactor W8A8 Block Linear to use the kernel abstraction
- [Feature]: Change min_capability to is_supported in the kernel abstraction
- Docs
- Python not yet supported