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
- [Misc]: CUDAGraph captured generation stuck with custom_all_reduce and tensor_parallel=2
- [Usage]: About the use of benchmark_latency.py
- [Performance]: Long AllReduce wait time on 1 device with tensor parallelism
- [Bug]: OpenAI API emulation incompatible with shell_gpt OpenAI API calls
- [Bug]: Test_skip_speculation fails in distributed execution
- [Bug]: Request never returns if temperature > 2
- [RFC]: Classifier-Free Guidance
- [Bug]: Model architectures ['NVEmbedModel'] are not supported for now
- Serving inference requests based on caching
- [Model] Initialize deepseek-vl support
- Docs
- Python not yet supported