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English(EN) Rock Matrix, with HKUST and Carnegie Mellon, has open-sourced EdgeRock-4B, built from Alibaba's Qwen3.5-4B. Sliding-window attention and memory anchors hold its

Rock Matrix 开源 EdgeRock-4B，基于 Qwen3.5-4B 改进，显存占用更低

作者 PulseAugur 编辑部 · [1 个来源] ·

Rock Matrix 与香港科技大学和卡内基梅隆大学合作，已将 EdgeRock-4B 作为开源模型发布。该新模型基于 Alibaba 的 Qwen3.5-4B，并采用了滑动窗口注意力和内存锚点技术。这些创新将 256K 上下文的 KV 缓存大小显著降低至 72 MiB，相比 Qwen 的 8 GiB 减少了 99.1%，同时保持了基础模型 AIME 分数的 96.3%。 AI

影响 此次发布提供了一个内存效率更高的 LLM，有望在资源受限的设备上实现更广泛的部署。

排序理由 技术创新模型衍生版的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

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

Rock Matrix 开源 EdgeRock-4B，基于 Qwen3.5-4B 改进，显存占用更低

本文如何被排名

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技术创新模型衍生版的开源发布。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Rock Matrix 与香港科技大学和卡内基梅隆大学合作开源 EdgeRock-4B，该模型基于阿里巴巴的 Qwen3.5-4B 构建。其采用了滑动窗口注意力机制和记忆锚点

    Rock Matrix, with HKUST and Carnegie Mellon, has open-sourced EdgeRock-4B, built from Alibaba's Qwen3.5-4B. Sliding-window attention and memory anchors hold its KV cache at 72 MiB at 256K context, against 8 GiB for Qwen, a 99.1% cut, while it keeps 96.3% of the base model's AIME …

    链接 pandaily.com/rock-matrix-edgerock-4b-open…

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