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
- [KVConnector][NIXL] Preserve SSE response content type
- [XPU] Route INC WNA16 MoE to oracle backend instead of bf16 dequant
- [Bug]: GLM 5.2 MTP didn't work in AMD MI300x
- [Bugfix][Spec Decode] Warm spec-sized logits all-gather during init
- [Bugfix][Kernel] Pass the correct expert count to WNA16 MoE block config
- [Bugfix][Frontend] Handle None/NaN/Inf logprob values when using FP8 quantization
- [Kernel] TRITON_MLA SWA
- [Feature]: [Batch-Invariant-Kernels] GDN_ATTN does not support batch-invariant mode for Qwen3.5/Qwen3.6 GDN models
- [Bugfix] Reject incompatible user-specified --block-size before model load
- [RFC]: Session-centric KV-cache orchestration over typed session identity
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- Python not yet supported