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
- [cpu] Fix chained comparisons in static_assert breaking macOS builds
- [Usage]: for the tpye: UniformTypeKVCacheSpecs , the calc of num_blocks = available_memory // kv_cache_groups[0].kv_cache_spec.page_size_bytes, no need to divide num_layers ?
- [Doc] fix selector/label mismatch in helm chart
- [Bug Fix][CPU Profiling] Add CPU profiler summary file output on rank 0
- [Refactor] Remove dead code in kv connector and model runner
- [Transformers v5] IsaacForConditionalGeneration
- [Bug]: Vision encoder crashes on SM100 (Jetson Thor) — `_vllm_fa2_C` compiled for SM80-only, no override available for vision encoder
- fix: ensure CUDA context initialization before MemorySnapshot in EngineCore
- [Bug]: V1 Engine: EngineDeadError (AssertionError) on max_model_len overflow during realtime audio streaming
- [Bugfix] Fix set serialization in Qwen3.5 rope validation configs
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