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] add iteration_tokens metric
- [Feature]: Supporting MultiModal inputs using Llama3.1
- [Performance]: The impact of CPU on vLLM performance is significant.
- [Bug]: When use `guided choice` feature, vllm.engine.async_llm_engine.AsyncEngineDeadError
- [Bug]: ValueError: Queue <multiprocessing.queues.Queue object at 0x7f5703d2d0f0> is closed;zipfile.BadZipFile: Bad magic number for file header
- [Usage]: Can vLLM handle multi-turn and multi-instance at the same time?
- [Usage]: How to output logprob for each possiable token about classification or determin task?
- [Bug]: JAMBA 1.5 - Beam Search Returns a few characters then stops early
- [Bug]: Mismatch in TTFT count and number of successful requests completed
- [Performance]: Llama 3 70B; vLLM does not scale beyond TP=4
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