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
- [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
- [Bug]: Gemma 4 MTP speculative decoding crashes during CUDA graph capture (`_suppress_token_ids` is a Python list, not a device tensor)
- feat(mxfp4): add MXFP4 expert cache support to DeepSeek V4
- [RFC]: manylinux compatibility baseline for aarch64 binary dependencies
- [Kernel] MXFP4 indexer cache for GLM-5.2 / DSA (glm_moe_dsa)
- fix(security): validate INT4 W4A8 MoE inputs to prevent OOB read and …
- Docs
- Python not yet supported