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]: spark can not run MoE GEMM
- Alternative way to obtain GPU inventory. // .buildkite/test-amd.yaml:L589
- [vllm][OutputProcessor] Allow propagate engine core additional outputs back to client
- [Bug] Cannot load qwen3-vl series with lora adapter
- [Bug]: DeepSeek-R1-Distill-Llama-8B tool calls returned in content instead of tool_calls array
- [Bug]: ROCm and AITER ValueError: Unsupported attention metadata type for speculative decoding with num_speculative_tokens > 1
- [RFC]: Redesign Logprobs data structure to reduce GC cost
- [Feature]: Implement naive prepare/finalize class to replace naive dispatching in fused_moe/layer.py
- [BugFix][27485] Fix ITL algorithm for chunked OpenAI chat completions
- [Bug]: Vllm loading gptq quantization of int8 accuracy Qwen3-Next-80b-A3B model error KeyError: 'layers.0.mlp.experts.w2_weight'
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