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
- add benchmark test for fixed input and output length
- [Usage]: ValueError: User-specified max_model_len (8192) is greater than the derived max_model_len (sliding_window=4096 or model_max_length=None in model's config.json).
- No executable after building vllm from source with CPU support
- [Performance]: empirical measurement of object serialization for input/output of worker
- [Usage]: Gemma2-9b not working on A10G 24gb gpu
- [Bug]: Qwen2 Moe FP8 not supported on L40
- [Bug]: vllm not working in lightllm
- [Misc]: Min thread limitation inconsistency for gptq_marlin
- [Core][Model] Add simple_model_runner and a new model XLMRobertaForSequenceClassification through multimodal interface
- [Feature]: FlashInfer + Gemma 2 for AMD GPU
- Docs
- Python not yet supported