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Qwen3.8-27B-GSQ-RCO-GGUF model performance questioned against UD-Q4_K_XL

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/LocalLLaMA community is inquiring about the performance of the ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF model. Specifically, they are asking if this model, which boasts BF16 performance in an IQ3_S quant, can rival the speed of the UD-Q4_K_XL quantization. The user is seeking to determine if the model's promises are genuine or if they are merely empty claims. AI

IMPACT This discussion highlights user-driven evaluation of model performance and quantization techniques within the open-source community.

RANK_REASON User inquiry about model performance, not an official release or benchmark.

Read on r/LocalLLaMA →

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

Qwen3.8-27B-GSQ-RCO-GGUF model performance questioned against UD-Q4_K_XL

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0 / 100
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User inquiry about model performance, not an official release or benchmark.
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model release
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COVERAGE [1]

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

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

    <!-- 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…

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