diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index cefa39a57c886..627227ca93b16 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -6,8 +6,17 @@
 
 #include <cstdio>
 #include <string>
+#include <sstream>
 #include <vector>
 #include <numeric>
+#include <limits>
+
+// verbosity flag set via the params.verbosity CLI flag. This is used for two
+// things:
+// 1. If > 0, tensors are printed with 8 digits of precision instead of 5
+// 2. If > 1, all tensor values are printed instead of the pretty-printed
+//      partial output
+static int verbosity = 0;
 
 /**
  * This the arbitrary data which will be passed to each callback.
@@ -61,6 +70,10 @@ static float ggml_get_float_value(uint8_t * data, ggml_type type, const size_t *
 }
 
 static void ggml_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n) {
+    std::stringstream ss;
+    const int float_digits = verbosity > 0 ? 8 : 4;
+    ss << "%12." << float_digits << "f";
+    const auto float_fmt = ss.str();
     GGML_ASSERT(n > 0);
     float sum = 0;
     for (int64_t i3 = 0; i3 < ne[3]; i3++) {
@@ -93,7 +106,7 @@ static void ggml_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne
                         i0 = ne[0] - n;
                     }
                     const float v = ggml_get_float_value(data, type, nb, i0, i1, i2, i3);
-                    LOG("%12.4f", v);
+                    LOG(float_fmt.c_str(), v);
                     if (i0 < ne[0] - 1) LOG(", ");
                 }
                 LOG("],\n");
@@ -153,8 +166,12 @@ static bool ggml_debug(struct ggml_tensor * t, bool ask, void * user_data) {
     }
 
     if (!ggml_is_quantized(t->type)) {
+        // The `--verbose` flag will set verbosity to INT_MAX. We want that to
+        // be the equivalent of `-lv 1` since it will be the most common command
+        // used and full-width printing is extremely verbose.
+        const int print_width = (verbosity > 1 && verbosity < std::numeric_limits<int>::max()) ? std::numeric_limits<int>::max() : 3;
         uint8_t * data = is_host ? (uint8_t *) t->data : cb_data->data.data();
-        ggml_print_tensor(data, t->type, t->ne, t->nb, 3);
+        ggml_print_tensor(data, t->type, t->ne, t->nb, print_width);
     }
 
     return true;
@@ -192,6 +209,9 @@ int main(int argc, char ** argv) {
 
     common_init();
 
+    // set verbosity for printing
+    verbosity = params.verbosity;
+
     llama_backend_init();
     llama_numa_init(params.numa);