kcpp does sampling ourselves, we can do whatever we want
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@ -55,6 +55,19 @@ struct gpt_params {
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float rope_freq_base = 0.0f; // RoPE base frequency
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float rope_freq_base = 0.0f; // RoPE base frequency
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float rope_freq_scale = 0.0f; // RoPE frequency scaling factor
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float rope_freq_scale = 0.0f; // RoPE frequency scaling factor
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// sampling parameters
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int32_t top_k = 40; // <= 0 to use vocab size
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float top_p = 0.95f; // 1.0 = disabled
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float tfs_z = 1.00f; // 1.0 = disabled
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float typical_p = 1.00f; // 1.0 = disabled
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float temp = 0.80f; // 1.0 = disabled
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float repeat_penalty = 1.10f; // 1.0 = disabled
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int32_t repeat_last_n = 64; // last n tokens to penalize (0 = disable penalty, -1 = context size)
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float frequency_penalty = 0.00f; // 0.0 = disabled
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float presence_penalty = 0.00f; // 0.0 = disabled
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int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0
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float mirostat_tau = 5.00f; // target entropy
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float mirostat_eta = 0.10f; // learning rate
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// // sampling parameters
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// // sampling parameters
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struct llama_sampling_params sampling_params;
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struct llama_sampling_params sampling_params;
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