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
- [Model Runner V2][MTP] Share topk index buffer between draft steps
- [Attention] Overlap sparse MLA indexer with native CUDA streams
- [Feature]: Batch Invariant FLASHINFER_MLA support
- [Rust Frontend] Add TLS certificate hot-reload (`--enable-ssl-refresh`)
- [Core] Demo implementation of extensible kv cache memory
- [Bug] Crash input dump leaks structured-output schema at ERROR level
- [Bug] NVFP4 flashinfer_b12x MoE produces empty/garbage output under pipeline or tensor parallel on SM120 — regression between dev552 (06-29) and dev601 (06-30)
- fix(logging): redact structured-outputs schema in crash dumps
- Revert "[CPU][Perf]Added tanh AOR for faster gelu activations." (#44639)
- [Bugfix][Model Runner V2][Spec Decode] Decouple draft Gumbel stream from acceptance/recovery noise
- Docs
- Python not yet supported