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
- [Feature] Add energy consumption metrics to benchmark suite
- [Feature]: Add support for token_adapter.trainable_tokens_delta LoRA weight
- [Bug]: SM 7.5 extreme slowness hangs indefinitely on T4 (vllm 0.17.0 with Qwen3.5-27B)
- cumem allocator: double-free and stale error codes during sleep/wake cycles
- [Bug]: Frequent Tool Call Parsing Failures with DeepSeek-V3.2
- [ROCm] Enable FP8 inference on gfx1201 AMD RDNA4 (Radeon AI PRO R9700) with aiter kernels
- [Bug]: ValueError: No user query found in messages QWEN 3.5 27B VLLM 0.16.0 NIGHTLY
- feat(dcp, flashinfer): support FULL_DECODE_ONLY for flashinfer with DCP>1
- [ROCm] Add AITER fused decode kernel for MLA attention
- Guard AWQ-Marlin auto-selection on CUDA driver/toolkit mismatch
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