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] Fix invalid streaming JSON for duplicate argument keys in HYV4 tool parser
- [Bug]: Sweep result paths collide and silently reuse measurements from another experiment
- [Bugfix][Benchmark] Reject colliding sweep result directories
- [Feature] Support MP-backed elastic expert parallelism for single-node DP scaling
- [Bugfix][Mamba] Warm up the SSD kernels on a prefill-sized sequence
- [Bugfix] Keep LRU cache views live and read-only
- [Bugfix][Quantization] Use absolute maxima for vision FP8 scaling
- [Bugfix][Parser] Fix GLM-4.7 stray <tool_call> in prose
- [Core] Add gap-tolerant prefix cache reuse
- [Bugfix][Parser] Keep text after a quoted Qwen <tool_call> marker
- Docs
- Python not yet supported