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]: pplx all2all backend hangs during model warmup on A6000 GPUs
- [Usage]: question about gguf gemma3-4b different output from llama_cpp
- [Feature]: Environment Variable to Control Triton Autotuning
- [CI Failure]: Entrypoints Integration Test (Responses API) for GPU utilization ValueError
- [Bug]: MTP does not mask embedding on position 0
- [Usage]: What would happen if the offloading KV cache size is larger than config the max_local_cpu_size ?
- [Bug]: Latency spikes at input_len=1024 with batch_size=16 (TP1 & TP2)
- [Bugfix] Make tensorizer encrypted model output tests deterministic
- [Bug]: cuda 13 docker image error "ptxas fatal : Value 'sm_121a' is not defined for option 'gpu-name'"
- [ut] enhance structured output ut
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- Python not yet supported