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] Record non-ImportError attention backend probe failures instead of crashing engine init
- [BugFix]Reap orphaned CPU offload /dev/shm region files left by instances tha…
- [CI] Support partial torch requirement contexts
- [Bug]: vllm/vllm-openai:latest fails to start Gemma4 with Transformers 5.15.0
- [4/N][KV-Cache Layout Refactor] Promote local KV cache specs via a class-changing replace helper
- [Bugfix] Generalize KV block zeroing to `AttentionSpec`
- [Bug]: upgrade vllm from 0.26.0 to 0.27.0 run deepseek v4 flash error
- [MOE] Standardize and abstract fused shared expert optimization selection
- [Kernel][Perf] Add fused CUDA post-conv MTP decode kernel for Qwen3.5 GDN
- [Kernel] Add native B12X linear, MoE, and causal attention backends
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