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
- [KV Cache] Size packed Mamba groups by the unpadded state
- [Bugfix] Warn when VLLM_PLUGINS names match no installed plugin
- [Bugfix][Frontend] Explain invalid double-dash short aliases
- [XPU] UMD upgraded to 26.35
- [Bug]: ngram_gpu crashes with num_speculative_tokens_per_batch_size (assert num_speculative_tokens == self.k)
- [Performance]: Resize video frames while decoding to skip full-resolution copies
- [RFC]: Scheduler-owned KV transfer obligations: release blocks only after both recv and send complete
- Opt-in request security middleware for the API server (rate limiting, IP lists, payload screening)
- [Perf][Sampler] Add opt-in FlashInfer Cake top-k/top-p sampling
- [Bugfix][Spec Decode] Include draft models in DeepGEMM warmup
- Docs
- Python not yet supported