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]: fp8 KV cache + prefix caching truncates generation (ignore_eos bypassed) on Qwen3.5-NVFP4
- [Attention Backend] Select split-K per shape in HPC Attention Decode Backend, add integration tests
- [Rust Frontend]: Added olmo3 reasoning parser
- fix(security): bound MRoPE temporal positions to prevent engine crash
- [Bug]: Deploying the GLM5.2-nvfp4 model using the 0.24.0 image , the model occasionally outputs "!!!!!!!!!!!!!!!!!" in the thinking phase,
- [ZenCPU] Changes with respect to relevant cpu tests for ZenDNN
- Fix Responses API null field serialization
- Recover GLM-4.7 tool calls missing arg_key start
- [Bug]: Qwen3.6 hybrid model with prefix caching + MTP3 causes tool-call leakage and needle recall failure, while no-MTP path is correct[错误]：
- [Bug]: Responses API null serialization breaks SMG deserialization
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