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]: 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
- fix(gguf): Skip lm_head mapping for models with tied word embeddings
- [Bug]: vllm problem with cu130
- [Feature]: Support transformers>=5
- [Bug] [CPU Backend]: Wrong L2 cache size on Arm CPU for Attention tiles
- [Bug]: vLLM 0.12.0 / Flashinfer Backend memory profiling regression (DP > 1)
- [Feature]: Support for Q.ANT Photonic Computing ?
- Docs
- Python not yet supported