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]: Kimi-K2.6 intermittently outputs only "!!!!!!!!!!" in reasoning field with content null
- Reject ramp-up-start-rps=0 for linear strategy in vllm bench serve
- [MoE Refactor] Refactor FusedMoEQuantConfig into pre/post-weight loading types.
- [Misc] Warn when CUDA PTX arch flags are ignored
- [Performance] Use np.fromiter for dict-to-array conversion in hot paths
- Fix false substring match in INCConfig.get_layer_config
- [Bug]: MooncakeConnector startup failure triggers secondary `AttributeError` during cleanup (`async_zmq_ctx`)
- Implement Supports eagle3 Interface for dsv4
- [Quantization][ModelOpt] W4A16 NVFP4 fused MoE + --override-activation-dtype flag
- [Bugfix][CPU] Accept arm64 host processor for Apple Silicon detection
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