vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Fix IPC handle leak in CustomAllreduce during CUDA graph memory profiling
- [RFC]: Add Helion linear backend for vLLM
- Create devcontainer.json
- [Perf][V1] Apply min-p in log-space to avoid a redundant softmax
- [Perf][V1] Reuse log-probs to avoid a second softmax in native sampler
- [Bugfix][Attention] Enable FlashInfer mm-prefix attention
- [Bugfix] Fix KV cache memory leak when all requests finish with connector
- [Bug]: test_mla_rope_kvcache_cat_fusion fails with FlashAttnMLA + fp8 KV cache (NotImplementedError)
- [Bug]: test_flashinfer_cutlass_mxfp4_fused_moe accuracy mismatch on H20 (sm90) — 89% mismatch vs 20% threshold
- [XPU][UT] Fix test failure by using platform-aware imports
- Docs
- Python not yet supported