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
- [ROCm][Kimi-K3] Fuse the latent-MoE tail allreduce and RMSNorm
- [Bugfix][KV Connector] Name the differing fields on a NIXL compatibility hash mismatch
- [Bugfix] Fix support_torch_compile positional type check off by one
- [ROCm] MoE balanced routing
- [Attention] FlashMLA sparse: stage fp8 mixed-batch q/out in the workspace
- [Bugfix][Rust Frontend] Clean up failed LoRA loads and handle already-absent unloads
- Refactor RMS norm quant kernel to use vectorized primitives and enable sm_89+ hardware SIMD
- [ROCm][Perf][MLA][DCP] gfx942: run causal DCP verify on AITER single-token asm decode
- [Bug]: auto keeps xgrammar for a combinator with constraint keywords beside it, which xgrammar silently drops
- [Test][Spec Decode] Share reference comparison across EAGLE, MTP and speculators tests
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- Python not yet supported