TuringLLM: Efficiently Scaling Foundation Models Toward Physical AI
Despite its compact active-parameter budget, Turing-20B-A2B achieves, at the base-model stage, overall general capability exceeding Qwen3-8B Base and approaching Qwen3.5-9B Base, while maintaining strong long-context performance and favorable prefill-latency scaling.
Yu-Heng Zhang, Yi-Zhao Wang, Daijun Zhu et al.
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