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]: DRY Sampling
- [Usage]: How to run VLLM on multiple tpu hosts V4-32
- [Usage]: Standalone Debugging and Measuring the vLLM Engine Backend
- [Misc]: In vllm, I tested that the speed of concurrent server api requests is greater than the speed of offline inference. I would like to ask if there are any performance tests on the official vllm website. Can you tell me? Thank you.
- [Usage]: Number of requests currently in the queue
- [Bug]: vllm deploy medusa, draft acceptance rate: 0.000
- qwen2-vl: AttributeError: '_OpNamespace' '_C' object has no attribute 'gelu_quick'
- [Bug]: Wrong "completion_tokens" counts in streaming usage
- [Misc]: How are quantized models loaded compared to non-quantized models?
- [Feature]: OpenAI o1-like Chain-of-thought (CoT) inference workflow
- Docs
- Python not yet supported