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
- [Bugfix][Spec Decode] Fix DFlash capture on FLEX_ATTENTION and honor drafter enforce_eager
- [Bug]: An explicit truncation_side drops the special tokens the tokenizer adds
- [Bugfix] Require hybrid KV cache manager for hybrid models
- [Bug]: LLM.__repr__ raises AttributeError when the worker model is not a torch module
- [Bugfix] Fix wrong output when MoE ops are in splitting_ops under PIECEWISE CUDA graphs
- [Bugfix] Initialize fused shared expert flag in mistral eagle
- [CI][MiniMax-M3] Serving features compatibility matrix
- [Bug][Rust Frontend] DeepSeek V4/V4.1 renderer rejects `latest_reminder`, which the Python encoder renders
- [Bugfix][KV Offload] Store the chunk of a loaded partial tail
- [Bugfix] Close newly allocated ZMQ sockets when setup fails
- Docs
- Python not yet supported