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Co-authored-by: Johannes Gäßler <[email protected]>

Author: 2 people

common/arg.cpp

@@ -2115,70 +2115,70 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params) {
             params.hellaswag = true;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--hellaswag-tasks"}, "N",
         string_format("number of tasks to use when computing the HellaSwag score (default: %zu)", params.hellaswag_tasks),
         [](common_params & params, int value) {
             params.hellaswag_tasks = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--winogrande"},
         "compute Winogrande score over random tasks from datafile supplied with -f",
         [](common_params & params) {
             params.winogrande = true;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--winogrande-tasks"}, "N",
         string_format("number of tasks to use when computing the Winogrande score (default: %zu)", params.winogrande_tasks),
         [](common_params & params, int value) {
             params.winogrande_tasks = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--multiple-choice"},
         "compute multiple choice score over random tasks from datafile supplied with -f",
         [](common_params & params) {
             params.multiple_choice = true;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--multiple-choice-tasks"}, "N",
         string_format("number of tasks to use when computing the multiple choice score (default: %zu)", params.multiple_choice_tasks),
         [](common_params & params, int value) {
             params.multiple_choice_tasks = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--kl-divergence"},
         "computes KL-divergence to logits provided via --kl-divergence-base",
         [](common_params & params) {
             params.kl_divergence = true;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--save-all-logits", "--kl-divergence-base"}, "FNAME",
         "set logits file",
         [](common_params & params, const std::string & value) {
             params.logits_file = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--ppl-stride"}, "N",
         string_format("stride for perplexity calculation (default: %d)", params.ppl_stride),
         [](common_params & params, int value) {
             params.ppl_stride = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"--ppl-output-type"}, "<0|1>",
         string_format("output type for perplexity calculation (default: %d)", params.ppl_output_type),
         [](common_params & params, int value) {
             params.ppl_output_type = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_FINETUNE}));
+    ).set_examples({LLAMA_EXAMPLE_PERPLEXITY}));
     add_opt(common_arg(
         {"-dt", "--defrag-thold"}, "N",
         string_format("KV cache defragmentation threshold (default: %.1f, < 0 - disabled)", (double)params.defrag_thold),