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]: DeepSeek-V3.1-Terminus-BF16 run error
- [Bug]: Exception: WorkerProc initialization failed due to an exception in a background process. See stack trace for root cause.
- [Usage]: Turn off reasoning for Kimi-K2-Thinking?
- [Bug]: B200 prefill performance with deepep HT is ~50% of H200
- [Bug]: How to run DeepSeek-V3.2 on 2 H100 nodes?
- [Bug]: v1 scheduler assert num_new_tokens > 0
- [Feature]: Batch Invariant Feature in DP+EP
- [Performance]: Can we enable triton_kernels on sm120
- Remove virtual engine handling
- [Bug]: illegal memory access countered when using kv-cache-type=fp8 loading a weight-fp8 model for evaltest in flash-attn backend
- Docs
- Python not yet supported