diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index bf7c66eb3..8cdb2c63e 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -1607,6 +1607,9 @@ int SampleLogits(const float * logits, int n_ctx, int n_vocab, int rep_pen_range
 int mirostat, float mirostat_tau, float mirostat_eta, float dry_multiplier, float dry_base, int dry_allowed_length, int dry_penalty_last_n, float xtc_threshold, float xtc_probability,
 const std::vector<samplers> & sampler_order, llama_grammar * grammar, float dynatemp_range, float dynatemp_exponent, float smoothing_factor)
 {
+    // printf("SampleLogits called with: n_ctx=%d, n_vocab=%d, rep_pen_range=%d, rep_pen=%f, rep_pen_slope=%f, presence_penalty=%f, top_k=%f, top_a=%f, top_p=%f, min_p=%f, typical_p=%f, tfs=%f, nsigma=%f, temp=%f, mirostat=%d, mirostat_tau=%f, mirostat_eta=%f, dry_multiplier=%f, dry_base=%f, dry_allowed_length=%d, dry_penalty_last_n=%d, xtc_threshold=%f, xtc_probability=%f, sampler_order_size=%zu, dynatemp_range=%f, dynatemp_exponent=%f, smoothing_factor=%f\n",
+    // n_ctx, n_vocab, rep_pen_range, rep_pen, rep_pen_slope, presence_penalty, top_k, top_a, top_p, min_p, typical_p, tfs, nsigma, temp, mirostat, mirostat_tau, mirostat_eta, dry_multiplier, dry_base, dry_allowed_length, dry_penalty_last_n, xtc_threshold, xtc_probability, sampler_order.size(), dynatemp_range, dynatemp_exponent, smoothing_factor);
+
     int id = 0;
     std::vector<llama_token_data> candidates;
     candidates.reserve(n_vocab);