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][Reasoning] Handle buffered Step3 end-token deltas
- [Bug]: Ampere sm_86 can't load W4A16 quant at TP=2 when a layer's output dim halves to <64 (Marlin min_thread_n block)
- [Bug]: Kimi-K2.5 compressed-tensors on GB10 / SM 12.1 still binds to Marlin under --moe-backend triton and degenerates into repeated tokens
- [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
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