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] DeepSeek-V4-Flash-0731 intermittently emits malformed DSML tool-call start wrapper on v0.27.1 + DSpark
- [Bug][DSV4-Flash][DSpark] v0.27 weight loader regressed — KeyError routed_experts.w13_weight_scale (v0.26 gracefully skipped)
- [ROCm][DSv4] Add FlyDSL fused mega-MoE backend for DeepSeek V4
- [Frontend][Rust] Add vllm bench mm-processor-style CLI for Rust frontend preprocessing (draft, no code)
- [Kernel] Enable optimized FlashInfer add-RMSNorm NVFP4 fusion
- [Perf] Move context_lens compute into prefill path for Minimax
- [XPU] [Linear] [MXFP8] enable torch as mxfp8 linear backend
- [CI/Build][torch.compile] Add E2E correctness test for QK-norm+RoPE fusion
- [Parser] Migrate Hermes tool parser to the new streaming Parser Engine
- [Model] Register sparse DeepSeek V3.2 MTP
- Docs
- Python not yet supported