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]: gpt-oss-120b has high possibility to generate response as part of reasoning by using vllm v0.10.1
- [Feature]: Support `Phi4Flash` model in V1
- [gpt-oss]: Ability to set model_identity dynamically which is used in building the system prompt
- [Bug]: CUDA illegal memory access during structured output (xgrammar) crashes vLLM workers and API returns 500
- [Usage]: vllm+ray launches extra jobs on existing cluster, and not just actors
- [Model] Add Support for Grok2
- [Usage]: Can prefix cache be shut down totally?
- [Bug]: Kimi-K2 tool parser may incorrectly parse multiple tool calls
- [Bug]: GPT-OSS Responses API: Incomplete Output When Using Function-Call
- [Performance]: ROPE + KV-Cache-Write + pre-attn prepare-ops fusion
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