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
- [gpt-oss]: Ability to set model_identity dynamically which is used in building the system prompt
- [Usage]: vllm+ray launches extra jobs on existing cluster, and not just actors
- [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
- [Bug]: type object 'GroupShape' has no attribute '__origin__' when trying to use with torch.compile
- [Bug]: NCCL OOM at 1k concurrency using default memory for DP=16 decode with EPLB and 16 redundant experts
- [Bug]: Too many values to unpack in dispatch_cpu_unquantized_gemm [LiquidAi/LMF2]
- [Usage]: How to Add torch.cuda.nvtx Code in vLLM to Monitor Model GPU Usage
- [Bug]: gpt-oss-120b failed with data-parallel-size >1
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