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Bai et al.: Qwen multilingual and tool-using language-model system

Contribution grade

Foundation-model training systems and resources · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Built and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning.

Scientific scope

Built and documented the original Qwen pretraining and human-alignment pipeline, including multilingual tokenization, context extension and chat models evaluated on tool use, code interpretation and specialized reasoning. One original family and training-system record. RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One original family and training-system record. RoPE, SwiGLU, FlashAttention, RLHF and NTK-aware interpolation are inherited rather than attributed as Qwen inventions. Author benchmark results are not current product guarantees.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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