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
- [Perf][DSv4.1] Small-head sparse decode on SM90
- [ROCm][Perf] Allow DSA indexer native decode above next_n=2
- [Bugfix] Reject `max_tokens < 1` in `BeamSearchParams`
- [Docs] Document attention backends built by the composite factory
- [ROCm][Perf] AITER FlyDSL kernels for the QSA indexer and sparse GQA
- [ROCm][Perf][Qwen4Exp] Dispatch HC combine_and_mix to the AITER FlyDSL two-stage kernel
- [Feature][Frontend] Add periodic usage updates to Anthropic streaming
- [Bug]: [gpt-oss-20b-bf16] W4A8 quantized model produces garbled output on ARM CPU
- [Feature]: Support configuring Triton unified-attention launch parameters
- [Model][Hardware][AMD] Fuse Two-pass MHA into single Causal MHA
- Docs
- Python not yet supported