Jifeng Dai’s NaiveAI Releases First Open-Source Model: AI Participated in 6 Days of 151 Optimization Rounds
49 minutes ago
Insight Beating AI Express: NaiveAI, founded by Tsinghua University associate professor Dai Jifeng, has released Naive-N0.5-Flash and made its model weights publicly available. The model is modified from Xiaomi’s MiMo-V2.5 Base and open-sourced under the MIT license. NaiveAI retains the original MoE architecture, with key adjustments to the attention mechanism: replacing global attention with sliding window attention and DeepSeek sparse attention, followed by further training on 3.25 trillion tokens. The modified model natively supports a 1 million-token context window, reducing computational overhead when processing ultra-long texts. AI was directly involved in R&D: it handled coding, experiment runs, result analysis, and optimization, while researchers set directions and made key decisions. Taking inference system NaiveRT as an example, the team conducted 151 optimization experiments over 6 days, with 63 rounds adopted. The official announced a maximum inference speed of 2122 tok/s, but the test conditions were special: using 8 GPUs, disabling thinking mode, excluding input processing time, and selecting the best-performing second from 41 requests. Under standard conditions, the official provided a speed of approximately 50 tok/s per user.
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