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
- [Bug]: Why does the video file uploaded to the LLM node parse out as files:[] during the data processing step?
- [Bugfix][Spec Decode] Disable EAGLE prefill FULL CUDA graph for live multimodal batches
- [Core][Perf] Add MessagePack prefix block hash algorithms
- multi-turn support reasoning mode
- [Bugfix][V1] Zero recycled KV cache blocks for FullAttentionSpec to fix non-deterministic output at temperature=0
- [Test] Add parallel sampling tests for all output_kinds (AsyncLLM + LLM)
- [MoE/b12x] Add cutlass_prefill_threshold hybrid dispatch to FlashInferB12xExperts
- Add opt-in Unicode tag-block sanitization middleware
- [Bugfix][DSV4] wo_a scale getattr fallback for non-Marlin kernel paths
- [Bugfix] Fix CUDA illegal memory access in Marlin MoE c_tmp on SM 12.0a (re-file of #36889)
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- Python not yet supported