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New 1.7B Mímir model claims to outperform Qwen and Gemma

A new 1.7 billion parameter language model named Mímir has been released, claiming to outperform models like Qwen 3.5 and Gemma 4 on various benchmarks. The model, which appears to be primarily for English and Danish, reportedly builds upon Sapient's hrm-text model and utilizes a unique layer-recurrence technique. Early assessments suggest its math and coding capabilities are decent. AI

IMPACT Potentially offers a new, smaller, yet capable model for specific language tasks.

RANK_REASON Release of a new language model with benchmark claims. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 1.7B Mímir model claims to outperform Qwen and Gemma

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Release of a new language model with benchmark claims. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release
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High
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15 days old
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COVERAGE [1]

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

    Mimir: Did the vikings train a 1.7B killer model?

    <!-- 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…