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
- [Bug]: QLoRA inference returns alternating output
- [Bug]: Neuron + Vllm inference broken with backward incompatible change
- [Core] Enable Memory Tiering for vLLM
- [Bug]: RuntimeError on A800 using vllm0.6.1.post2
- [Bug]: RuntimeError in gptq_marlin_24_gemm
- [Bug]: Gemma2 model not working with vLLM 0.6.0 CPU backend
- [Usage]: how to let vllm use the generation_config.json as the default generation config
- [Bug]: Dockerfile has a hardcoded dependency for flashinfer with cuda 12.1
- [Bug]: JSONDecodeError when running vllm serve
- [Core] Default to using per_token quantization for fp8 when cutlass is supported.
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- Python not yet supported