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
- [Performance]: guided generation is very slow in offline mode
- [BugFix] Spec Decode error:No available block found in 60 Second.
- Do vLLM support `input_embeds` as input while using LLama?
- [Bug]: --Chunked prefill can't be used together with num-scheduler-steps
- [Misc] Added num_cumulative_preemption metrics
- [Usage]: Throughput and quality issue with vllm 0.6.0.
- [Bug]: AssertionError when using automatic prefix caching and prompt_logprobs
- [Performance]: Using vLLM for Llama3.1 405b fp8 on 8xH100 yields poor throughput
- [Bugfix] Fix LongRoPE bug
- [Usage]: Single-node multi-GPU inference
- Docs
- Python not yet supported