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]: Persistent KV offload cache is not namespaced by model revision
- [Perf] [Feat] [ROCm] Add densemha support to ROCm AITER Sparse MLA
- Add runtime LoRA weight updates
- [Feature]: Opt-in DeepGEMM BF16 grouped-GEMM MoE backend (unquantized bf16)
- [Kernel][MoE] Add opt-in DeepGEMM BF16 grouped-GEMM MoE backend (contiguous + masked)
- [XPU][Bugfix] Fall back to native mem_get_info when sysman getMemoryInfo reports free=0
- [Bug]: cuMemcpyBatchAsync segfaults or hangs on large/repeated compact scatter submissions
- [Rust Frontend] Allow media placeholder target to be a list of tokens
- [DSv4 triton] Add a pure-Triton fp4 pack fallback so the mxfp4 indexer kernel
- [DSv4 Perf]Right-size per-task RMSNorm blocks for the fused QK norm
- Docs
- Python not yet supported