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@@ -11,7 +11,7 @@ https://civitai.com/models/934764?modelVersionId=1239062
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  Based on my experience, Q4_K_S and Q4_K_M are usually the balance points between model size, quantization, and speed.
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- In some benchmarks, selecting a large-parameter low-quantization LLM tends to perform better than a small-parameter high-quantization LLM.
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  根据我的经验,通常Q4_K_S、Q4_K_M是模型尺寸/量化/速度的平衡点
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  Based on my experience, Q4_K_S and Q4_K_M are usually the balance points between model size, quantization, and speed.
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+ In some benchmarks, selecting a large-parameter high-quantization LLM tends to perform better than a small-parameter low-quantization LLM.
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  根据我的经验,通常Q4_K_S、Q4_K_M是模型尺寸/量化/速度的平衡点
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