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
- [Feature]: Add return_progress parameter to stream prompt processing progress during prefill
- [Feature]: Support full BlockPool state dump as KV events for external router
- [Bug]: R1 NVFP4 flash_infer_one_sided on prefill causes accuracy degradation during P/D
- [Bug]: v0.19.1 Crash with CUDA invalid argument / Segfault when using KV Offloading + EAGLE3 + Expert Parallel (on 8x H20 141GB)
- refactor: make is_neox_style configurable for glm
- [Feature]: KV Cache Eviction support ARC
- [Bugfix][Spec Decode] Wire draft_probs into probabilistic draft_model rejection
- [Feat]Make EPLB max expert redundancy configurable
- [Platform][XPU] Opt-in integrated-GPU override for unified memory
- [Bug]: Engine crashes with AssertionError when prompt exceeds auto-fitted max_model_len (admission check missing)
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- Python not yet supported