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 readiness endpoint /ready and return /health earlier (vLLM on Kubernetes)
- [Bug]: call for stack trace for "Watchdog caught collective operation timeout"
- [Kernel] Unify the kernel used in flash attention backend
- [Bug]: benchmark_serving.py cannot calculate Median TTFT correctly
- [Kernel] Support Microsoft Runtime Kernel Lib for our Low Precision Computation
- [Feature][Hardware][AMD] Enable Scaled FP8 GEMM on ROCm
- [Bug]: identical branches in csrc/quantization/marlin/sparse/marlin_24_cuda_kernel.cu
- [ci][distributed] add distributed test gptq_marlin with tp = 2
- [Bug]: Segmentation fault (core dumped) while loading deepseek coder v2 lite model
- [Bug]: OOM when loading Qwen2 GPTQ 8bit and modify gpu_memory_utilization didn't help
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- Python not yet supported