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Unsloth releases DeepSeek-V4.1 Dynamic V3.1 GGUFs with claimed accuracy gains

By PulseAugur Editorial · [1 sources] ·

Unsloth has released new GGUF versions of the DeepSeek-V4.1-1017 Dynamic V3.1 model, claiming superior accuracy and size efficiency compared to other GGUF formats. Benchmarks across various metrics like AIME25 and LiveCodeBench reportedly show Unsloth's versions outperforming competitors, even with lower bit quantizations. The company also highlighted new features in its Unsloth Desktop application, including browser use and a TTS pipeline. AI

IMPACT Offers improved efficiency and accuracy for running large language models locally.

RANK_REASON This is a release of quantized model formats and associated software improvements, not a new frontier model release from a major lab.

Read on r/LocalLLaMA →

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

Unsloth releases DeepSeek-V4.1 Dynamic V3.1 GGUFs with claimed accuracy gains

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This is a release of quantized model formats and associated software improvements, not a new frontier model release from a major lab.
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COVERAGE [1]

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

    Introducing DeepSeek-V4.1-Flash-1017 Dynamic v3.1 Unsloth GGUFs

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xjfuqh/introducing_deepseekv41flash1017_dynamic_v31/"> <img alt="Introducing DeepSeek-V4.1-Flash-1017 Dynamic v3.1 Unsloth GGUFs" src="https://preview.redd.it/v9q24jegzlyh1.png?width=640&amp;crop=smart&amp;au…

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