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  <p>Note: using quantized KV cache with Qwen2.5 <b>is not recommended</b> and can lead to degraded output quality. On the other hand, Qwen's KV cache is already light enough, so using f16 for it shouldn't be problematic.</p>
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- <p>Note #2: due to some unexepected data normalization, some artifacting in form of randomly appearring sequence of <code>—</code> can appear in outputs sometimes, if penalties are too high. To avoid it, ban token number <code>158</code>. Thanks to Cahvay/ALK for discovering this fix.</p>
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  <p>
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  <p>Prompt format is ChatML.</p><br>
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  <h3>Recommended sampler values:</h3>
 
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  <p>Note: using quantized KV cache with Qwen2.5 <b>is not recommended</b> and can lead to degraded output quality. On the other hand, Qwen's KV cache is already light enough, so using f16 for it shouldn't be problematic.</p>
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+ <p>Note #2: due to some unexepected effects of data normalization, some artifacting in form of randomly appearring sequence of <code>—</code> can appear in outputs sometimes, if penalties are too high. To avoid it, ban token number <code>158</code>. Thanks to Cahvay/ALK for discovering this fix.</p>
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  <p>
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  <p>Prompt format is ChatML.</p><br>
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  <h3>Recommended sampler values:</h3>