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
- [Feature]: APC introspection interface
- ppc64le: Dockerfile and CI fix
- [Performance]: Suitable draft model for llama3.1 8b
- [Bug]: benchmark_serving.py generates different numbers of tokens at different runs
- [Usage]: Best engine arguments for large batch inference
- [Feature]: NotImplementedError: logprobs is not currently supported by the TPU backend
- [Usage]: Is DynamicCache supported in vllm?
- [Core] Implementing disaggregated prefilling, and caching KV cache in CPU/disk/database.
- [Usage]: Get first token latency
- [Bug]: CPU silently doesn't support prompt adapter
- Docs
- Python not yet supported