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English(EN) Mimir: Did the vikings train a 1.7B killer model?

新的17亿参数Mímir模型声称性能超越Qwen和Gemma

一款名为Mímir的、拥有17亿参数的新型语言模型已发布,声称在多项基准测试中性能超越了Qwen 3.5和Gemma 4等模型。该模型似乎主要针对英语和丹麦语,据报道基于Sapient的hrm-text模型构建,并采用了独特的层循环技术。初步评估表明其数学和编码能力尚可。 AI

影响 可能为特定语言任务提供了一个新的、更小但功能强大的模型。

排序理由 发布了一个具有基准测试声明的新语言模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

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

新的17亿参数Mímir模型声称性能超越Qwen和Gemma

本文如何被排名

Signal score
0 / 100
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Newsworthiness bucket
Tool
发布了一个具有基准测试声明的新语言模型。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
60 days old
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完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ZookeepergameCool173 ·

    Mimir:维京人是否训练了一个17亿参数的杀手级模型?

    <!-- SC_OFF --><div class="md"><p>for those looking for something small AND powerful, there is a new 1B (they claim, it looks more like 1.7B ...) model that claims to beat qwen 3.5 0.8B &amp; 2B and gemma 4 E2B on a range of benchmarks. the model seems to be english and danish on…