imatrix: calculate activation-based statistics for new format (GGUF) imatrices

common/arg.cpp

@@ -2707,6 +2707,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.show_statistics = true;
         }
     ).set_examples({LLAMA_EXAMPLE_IMATRIX}));
+    add_opt(common_arg(
+        {"--activation-statistics"},
+        string_format("generate data to compute activation-based statistics (default: %s)", params.show_statistics ? "true" : "false"),
+        [](common_params & params) {
+            params.activation_statistics = true;
+        }
+    ).set_examples({LLAMA_EXAMPLE_IMATRIX}));
     add_opt(common_arg(
         {"--parse-special"},
         string_format("prase special tokens (chat, tool, etc) (default: %s)", params.parse_special ? "true" : "false"),

common/common.h

@@ -443,10 +443,11 @@ struct common_params {
     int32_t i_chunk     =  0; // start processing from this chunk
     int8_t  imat_dat    =  0; // whether the legacy imatrix.dat format should be output (gguf <= 0 < dat)
 
-    bool process_output  = false; // collect data for the output tensor
-    bool compute_ppl     = true;  // whether to compute perplexity
-    bool show_statistics = false; // show imatrix statistics per tensor
-    bool parse_special   = false; // whether to parse special tokens during imatrix tokenization
+    bool process_output         = false; // collect data for the output tensor
+    bool compute_ppl            = true;  // whether to compute perplexity
+    bool show_statistics        = false; // show imatrix statistics per tensor
+    bool activation_statistics  = false; // generate data to calculate activation based statistics
+    bool parse_special          = false; // whether to parse special tokens during imatrix tokenization
 
     // cvector-generator params
     int n_pca_batch = 100;