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Qwen3.8 Flash Next quantization impacts Finnish language ability

A user explored how quantization impacts the Finnish language capabilities of the Qwen3.8 Flash Next model, finding that quantization significantly degrades performance in less common languages. The user also investigated alternative quantization methods, noting that a hybrid approach using Unsloth's Q4 with a Q8 n-gram showed benefits, particularly for coding tasks, while having no discernible effect on Finnish language ability. AI

IMPACT Quantization significantly impacts performance on less common languages, highlighting the need for careful tuning for multilingual applications.

RANK_REASON User-driven research into model quantization effects on language performance. [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 →

Qwen3.8 Flash Next quantization impacts Finnish language ability

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5 / 100
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User-driven research into model quantization effects on language performance. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, other
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    Qwen3.8 Flash Next Unsloth quants KLD&Top1% with default wiki, English books and Finnish books.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x6kw7k/qwen38_flash_next_unsloth_quants_kldtop1_with/"> <img alt="Qwen3.8 Flash Next Unsloth quants KLD&amp;Top1% with default wiki, English books and Finnish books." src="https://preview.redd.it/9zmsolxlnmvh…