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
- [AMD][CI] Fix entrypoints pooling cross-encoder vision test group on gfx942
- fix: [Bug]: ModelOpt Llama-4 Checkpoints Take 5+ minutes to load
- [Bug]: DeepSeek-V4-Flash fails to start on B300 (SM100) — DeepGEMM sm100_tf32_hc_prenorm_gemm kernel launch fails (invalid argument on CUDA 13, invalid configuration argument on CUDA 12.9)
- MTP + MLA: slot_mapping assert fails with list[dict] from ubatch slicing
- [ROCM][Bugfix] Deferring to TRITON_ATTN backend for Prefix lm models instead of ROCM_ATTN and fixed minor bug in Gemma3 Multimodal code
- [Model] Gemma-4 MoE: implement get_expert_mapping for LoRA
- [Docs][Core] Document Mamba/hybrid prefix caching and surface how to enable it
- [CI/Build] Fix incorrect CLI arg validation tests in test_cli_args.py
- [Attention] Add KVarN: calibration-free variance-normalized KV-cache quantization backend
- Recover from P0/P1 processor cache drift (#46747)
- Docs
- Python not yet supported