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] Include specialize_active_lora in LoRAConfig.compute_hash
- [Perf][ROCm] Slice the Qwen4Exp PLE workspace to the actual token count
- [Quantization][MoE] Route compressed-tensors W4A8-INT MoE to WNA16 Marlin on CUDA
- [Model] Add tower and connector LoRA token counts for Nemotron 3 Omni
- [AuxOutput] Add customizable expert cache eviction policy
- [Bugfix] Include disable_hybrid_kv_cache_manager in SchedulerConfig.compute_hash
- [Bugfix] Include draft execution fields in SpeculativeConfig.compute_hash
- [Bugfix] Parse human-readable ints with Decimal to avoid off-by-one
- [Bugfix] Reset num_compiled_artifacts_loaded in reset_compile_wrapper
- [Bugfix] Offset ipc:// endpoints in ZmqEventPublisher.offset_endpoint_port
- Docs
- Python not yet supported