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
- [ROCm] Support AITER paged attention on gfx90a
- [Bugfix] Route DSv4 sparse-indexer prefill top-k around NaN-broken kernel path on SM12x
- [Bugfix] Reject whitespace-only bad_words in SamplingParams
- [Bugfix] Handle non-text frames in realtime speech WebSocket
- [Bug]: Prefill with prompt length == 1 + num_speculative_tokens misclassified as uniform decode → FULL spec-verify cudagraph skips GDN/hybrid recurrent-state write → deterministic garbage (any spec method incl. ngram; v0.25.1 & v0.26.0)
- [Core] Explicitly manage torch CPU threads in workers
- [Bug]: DiffusionGemma - Unconditional minimax_m3 warmup import in kernel_warmup() crashes engine startup for unrelated models (Triton JIT fails to parse index_topk kernel)
- [Bug]: EngineDeadError NVFP4 marlin
- fix: Add fp8 einsum warmup
- [Bugfix] Gate MiniMax M3 warmup imports by model and platform
- Docs
- Python not yet supported