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]: Add support for multi-lora and single lora for classification tasks
- [Core,Frontend,Doc] Trace v1 cuda start up with opentelemetry (vllm-project#19318)
- A developer friendly tool for multi-instance deployment with Ray Implementation
- [Model] vllm v1 support mlp_speculator
- [Performance]: Speculative decoding doesn't seem to speed up inference?
- Layered Dockerfile for smaller size and faster image pulling
- [ROCm][FEAT] Integrate AITER CustomAllreduce in cuda communicator.
- [Bug]: FP4 not leverage on RTX 6000 Pro (Blackwell)
- [Usage]: how to make one quantized model(w4a FP8). I used llm-compressor make one. But it not work in vllm 0.10.2.
- [RFC]: Limit the use of envvars in vLLM
- Docs
- Python not yet supported