common : disable repeat penalties by default (#6127)

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Georgi Gerganov 2024-03-19 10:21:54 +02:00 committed by GitHub
parent 970a48060a
commit b80cf3b2d1
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@ -32,13 +32,13 @@ typedef struct llama_sampling_params {
float dynatemp_range = 0.00f; // 0.0 = disabled float dynatemp_range = 0.00f; // 0.0 = disabled
float dynatemp_exponent = 1.00f; // controls how entropy maps to temperature in dynamic temperature sampler float dynatemp_exponent = 1.00f; // controls how entropy maps to temperature in dynamic temperature sampler
int32_t penalty_last_n = 64; // last n tokens to penalize (0 = disable penalty, -1 = context size) int32_t penalty_last_n = 64; // last n tokens to penalize (0 = disable penalty, -1 = context size)
float penalty_repeat = 1.10f; // 1.0 = disabled float penalty_repeat = 1.00f; // 1.0 = disabled
float penalty_freq = 0.00f; // 0.0 = disabled float penalty_freq = 0.00f; // 0.0 = disabled
float penalty_present = 0.00f; // 0.0 = disabled float penalty_present = 0.00f; // 0.0 = disabled
int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0 int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0
float mirostat_tau = 5.00f; // target entropy float mirostat_tau = 5.00f; // target entropy
float mirostat_eta = 0.10f; // learning rate float mirostat_eta = 0.10f; // learning rate
bool penalize_nl = true; // consider newlines as a repeatable token bool penalize_nl = false; // consider newlines as a repeatable token
std::vector<llama_sampler_type> samplers_sequence = { std::vector<llama_sampler_type> samplers_sequence = {
llama_sampler_type::TOP_K, llama_sampler_type::TOP_K,