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
- LoRA Triton kernel crashes with NVFP4 (modelopt_fp4) quantization - CUDA illegal memory access
- reasoning: null content when include_reasoning=False + json_schema response_format (introduced v0.23.1)
- [Model][Quant] Fused WNA16 GEMM for tied quantized lm_head logits
- [Doc]: batch_invariance.md said "compute capability 9.0+" in v0.20.0–v0.22.0 while code already supported 8.0+ (fixed in v0.23.0)
- [Distributed] Use NVSHMEM symm-mem backend across nodes
- [KV Connector] Validate HMA children for MultiConnector subclasses
- [LoRA][Perf] Zero-slice early-exit for LoRA kernels
- [DO NOT REVIEW][Kernel][Helion] Eager call-site routing for per_token_group_fp8_quant
- [ROCm] Enable AITER by default
- [Bugfix] Apply EP weight filter in multithreaded safetensors loader
- Docs
- Python not yet supported