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]: OpenAI completion error: 500 Unable to allocate 31.6 GiB for an array with shape (65158, 65158) and data type int64
- [Bug]: 0.11.1 A6000x2 120B OSS wrong generations
- [Bug]: vLLM 0.11.1 undefined symbol `cutlass_moe_mm_sm100` on RTX 5080 (SM 12.0) with CUDA 13.0
- [Feature]: Add option to tolerate self-signed certificates to vllm bench serve
- [Performance]: Can we use CUDA graph to accelerate the Qwen2_5omniAudioEncoder in Qwen2.5-Omni-3B?
- [Bug]: --long-prefill-token-threshold & --max-num-batched-tokens Confilct:lead to OOM!
- [Bug]: Pipeline parallelism issues on RTX 6000 + gpt-oss-120b
- [Feature]: Batch invariant: Enable TRITON_MLA with prefix-caching
- [Feature Request]: Add JSON response format to /health endpoint
- [Bug]: sagemaker_sessions on a shared cluster
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