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]: Support for Controlled Decoding
- [New Model]: bert-base-chinese
- [WIP] Disaggregated prefilling support X prefill + Y decode
- OOM error :When using four 4500 ada cards to start four lora instances, an error occurs. However, no error occurs when not starting lora on the four 4500 ada cards, and there is no error when starting four lora instances on a single A100 card.
- [Neuron] Enable async output processing for neuron
- [Usage]: Qwen2VL model mrope implemenation in cuda graph
- [Performance]: bitsandbytes quantization slow
- [Usage]: Custom LLM Generate
- [Usage]: When using vllm to start the interpl2-8b model service, an error occurs. The command is as follows: vllm serve/ internvl2-8b
- [Feature]: EAGLE fp8 quantization
- Docs
- Python not yet supported