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
- [Bug]: Unable to run Qwen3 MoE NVFP4 on SM120
- [DRAFT] Add RoaringBitmap-based sparse attention mask implementation
- [Feature]: Lightweight memory planner API for estimating model requirements
- Update abort the waiting queue of requests
- Fix multiprocessing start method for CUDA compatibility in LMCache kv_cache_sharing_lmcache_v1.py
- [Bug]: Rotated samples extraction - accuracy loss
- add default stop string
- Add KV Cache Memory Estimator Example Script
- [Frontend] Fixes glm reasoning parser leaking tokens
- [CI/Build] Only install DeepEP kernels on CUDA version 12.8+
- Docs
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