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English(EN) Can ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF compete with UD-Q4_K_XL?

Qwen3.8-27B-GSQ-RCO-GGUF模型性能受到UD-Q4_K_XL质疑

Reddit r/LocalLLaMA社区的一位用户正在询问ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF模型的性能。具体来说,他们想知道这个在IQ3_S量化中拥有BF16性能的模型,能否与UD-Q4_K_XL量化的速度相媲美。用户希望确定该模型的承诺是否真实,还是仅仅是空洞的宣传。 AI

影响 这次讨论突显了开源社区中用户对模型性能和量化技术的驱动评估。

排序理由 用户对模型性能的询问,并非官方发布或基准测试。

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 →

Qwen3.8-27B-GSQ-RCO-GGUF模型性能受到UD-Q4_K_XL质疑

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用户对模型性能的询问,并非官方发布或基准测试。
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报道来源 [1]

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

    ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 能与 UD-Q4_K_XL 竞争吗?

    <!-- SC_OFF --><div class="md"><p>The model card promises a lot: BF16 performance in an IQ3_S quant.</p> <p>Does it deliver? I'm assuming the IQ3_S quant would be faster than comparable Unsloth UD Q4.</p> <p>Empty promises or the real deal?</p> </div><!-- SC_ON --> &#32; submitte…