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English(EN) ZAYA1-8B Technical Report

Zyphra 的 ZAYA1-8B 模型以 7 亿激活参数媲美更大模型

作者 PulseAugur 编辑部 · [1 个来源] ·

Zyphra 发布了 ZAYA1-8B，这是一款专注于推理的混合专家模型，拥有 7 亿激活参数。该模型在 AMD 计算平台上从头开始训练，并采用了新颖的四阶段强化学习级联。ZAYA1-8B 通过采用专注于推理的训练方法和保留答案的修剪方案，在数学和编码基准测试中表现出竞争力，即使与规模大得多的模型相比也是如此。 AI

影响 该模型在推理基准测试中的表现，尤其是在激活参数数量有限的情况下，预示着更高效推理模型的潜力。

排序理由 这是一份详细介绍非前沿实验室新模型发布的技​​术报告。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Zyphra 的 ZAYA1-8B 模型以 7 亿激活参数媲美更大模型

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这是一份详细介绍非前沿实验室新模型发布的技​​术报告。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Robert Washbourne, Rishi Iyer, Tomas Figliolia, Henry Zheng, Ryan Lorig-Roach, Sungyeon Yang, Pritish Yuvraj, Quentin Anthony, Yury Tokpanov, Xiao Yang, Ganesh Nanduru, Stephen Ebert, Praneeth Medepalli, Skyler Szot, Srivatsan Rajagopal, Alex Ong, Bhavana ·

    ZAYA1-8B 技术报告

    arXiv:2605.05365v1 Announce Type: cross Abstract: We present ZAYA1-8B, a reasoning-focused mixture-of-experts (MoE) model with 700M active and 8B total parameters, built on Zyphra's MoE++ architecture. ZAYA1-8B's core pretraining, midtraining, and supervised fine-tuning (SFT) wer…

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