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
- observability: Make prefix cache hit-rate sliding window size configurable
- [Bug][KV Offload]: failed secondary-tier load livelocks the request — async lookup cache is never invalidated on load failure
- [Model] Honor fp32 head_dtype in Inkling muP logits (target + MTP draft)
- [Bug]: Native KV offloading with prefix caching changes tool visibility after a long shared-prefix request on Qwen3.6
- [Bugfix][Quantization] Respect explicit WNA16 MoE backend
- [Bug]: auto_round (INC) path hardcodes lm_head_quantized=False, crashing on checkpoints with quantized lm_head that auto-round legally produces
- [bugfix] fix minicpmv mm prompt placeholder parse error
- [MRV2] Capture routed experts from supported monolithic MoE kernels
- [CI] Add M3 MSA tests to CI
- [RFC]: Standalone Rust renderer
- Docs
- Python not yet supported