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][Perf][DeepSeek-V4.1] Fused mega-attention prefill kernel for MI355X
- [Doc] Use the dash-separated CLI flag names in scoring and tool-calling docs
- [Bugfix][P/D] Reject P/D kv_transfer_params with several prompts
- [Feature][Frontend] Add metadata value to mm_payload on render requests
- [Perf][Core] Optimize sliding-window prefix cache lookup with stride jumping
- [Quantization] Extend int8_per_channel_weight_only to LinearBase.
- [Perf][Sampler] Histogram-bracket top-p for large p-only batches
- [Perf][Spec Decode] Vocab-parallel DSpark Markov sampling and vocab-sharded verification over TP
- [Bugfix][Spec Decode][XPU] greedy_argmax: treat NaN as -inf on the torch fallback
- [KV Connector] Remove the in-tree LMCache integration package
- Docs
- Python not yet supported