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
- [Kernel] ReplaySSM: cache SSM inputs for faster Gated DeltaNet standard decode
- [Bugfix][Spec Decode] Fix multi-layer Qwen3.5 MTP dispatch
- [Bugfix][Model] Fix Qwen3.5 MTP multimodal weight loading
- [Bugfix][Tool Parser] Phi4Mini: don't drop tool calls with nested-array arguments
- [Bug]: "There are significant spike issues in TTFT" with Kimi-K2.6-NVFP4
- fix: defer optional transformers model imports
- [Bugfix][Multimodal] Fix M-RoPE media mapping for chunked prefill and multi-media chunks
- [Bugfix] Fix int4_per_token_head for SWA models and gemma 4
- [Doc] Update CPU image references to Docker Hub
- [Bug]: Gemma4 MTP speculative decoding crashes at engine init on 0.25.1 — "a and b must have same reduction dim" (regression from 0.21.0)
- Docs
- Python not yet supported