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] Fixed the argument name for the number of redundant experts in eep example
- Fix empty content when max_tokens truncates reasoning end token
- [chore] make register_module lazy by default
- Add vllm_enable_compile_cache config flag with backward compatibility
- Add padding support to wvSplitK solution for skinny GEMMs
- fix(rocm): use correct kv_cache_layout in extend_for_sliding_window
- add errorType for better type handling
- [BugFix] Set opencv-python-headless <= 4.12.0.88 for FIPS Compliance
- [Bug][Infrastructure]: Inconsistent Docker Image Versioning and Missing Tags on Docker Hub
- Use Kernel Abstraction for FP4ScaledMM
- Docs
- Python not yet supported