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]: benchmark_throughput gets TypeError: XFormersMetadata.__init__() got an unexpected keyword argument 'is_prompt' wit CPU
- [Usage]: low GPU usage in qwen1.5 110b int4 inference
- [Feature]: Set tensor_parallel_size to -1, to use all available cuda devices
- [Bug]: RuntimeError: "cat_cuda" not implemented for 'Float8_e4m3fn'
- [Bug]: Load LoRA adaptor for Llama3 seems not working
- 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
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- Python not yet supported