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]: AudioSpec(target_channels=1) does not produce 1D mono output for single-channel 2D audio
- [Bug]: FilesystemResolver loads adapters outside VLLM_LORA_RESOLVER_CACHE_DIR (path traversal via LoRA name)
- [Feature][KV Connector] Add UMBP distributed mode
- [ROCm][Attention] Support Prefix-LM for ROCM_AITER_UNIFIED_ATTN backend
- [Bug]: Backend.NO_ATTENTION points at a module that does not exist
- [Quantization] Make activation-quantization fallbacks explicit, add VLLM_STRICT_QUANT_SCHEME
- [Kernel][Fusion] Fuse GELU-tanh+Mul with NVFP4 quantization (Gemma 2/3/4)
- [Bugfix] Fall back to the cached file list when the HF Hub is unreachable
- Consolidate speculative decoding correctness and acceptance tests
- [Bug]: Qwen3-Coder-Next AutoRound routed MoE gate ignores checkpoint quantization
- Docs
- Python not yet supported