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server : tweak default sampling parameters (#4367)
* Set a more typical Top P setting as the default * Update temp max
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@ -223,7 +223,7 @@
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repeat_last_n: 256, // 0 = disable penalty, -1 = context size
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repeat_penalty: 1.18, // 1.0 = disabled
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top_k: 40, // <= 0 to use vocab size
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top_p: 0.5, // 1.0 = disabled
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top_p: 0.95, // 1.0 = disabled
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min_p: 0.05, // 0 = disabled
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tfs_z: 1.0, // 1.0 = disabled
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typical_p: 1.0, // 1.0 = disabled
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@ -762,7 +762,7 @@
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<fieldset class="two">
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${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
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${FloatField({ label: "Temperature", max: 1.5, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
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${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
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${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
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${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
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${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
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