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
- Do vLLM support `input_embeds` as input while using LLama?
- [Usage]: How to access mlp layer using the current version vllm(0.4.0)
- [RFC]: More functionality for API control
- [Bug]: Speculative Decode + OpenTelemetry not working
- [Bug]: --Chunked prefill can't be used together with num-scheduler-steps
- [Feature]: Reflection-Llama-3.1-70B tool-choice support
- [Misc] Added num_cumulative_preemption metrics
- [Bug]: Error when running multimodal large models with --enable-prefix-caching
- [Usage]: Throughput and quality issue with vllm 0.6.0.
- [New Model]: Reflection-Llama-3.1-70B
- Docs
- Python not yet supported