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3 changed files with 5 additions and 3 deletions
+1
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@@ -12,6 +12,7 @@ jobs:
steps:
- uses: actions/stale@v5
with:
exempt-issue-labels: "refactor,help wanted,good first issue,research"
days-before-issue-stale: 30
days-before-issue-close: 14
stale-issue-label: "stale"
+2 -1
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@@ -1056,7 +1056,8 @@ static bool gpt_params_find_arg(int argc, char ** argv, gpt_params & params, int
return true;
}
if (arg == "-h" || arg == "--help") {
return false;
gpt_print_usage(argc, argv, gpt_params());
exit(0);
}
if (arg == "--version") {
fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
+2 -2
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@@ -32,13 +32,13 @@ typedef struct llama_sampling_params {
float dynatemp_range = 0.00f; // 0.0 = disabled
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)
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_present = 0.00f; // 0.0 = disabled
int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0
float mirostat_tau = 5.00f; // target entropy
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 = {
llama_sampler_type::TOP_K,